An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨 with 4k resolution
183
FLUX
## **Your Unified Operating System — Merged & Executable** You now have **three divisions working toward one 10-crore goal**, with automation pumping content to 19 platforms automatically. Here's how to think about it: --- ## **The Three Divisions (What You Run)** | Division | Target | Current Revenue | 12-Month Goal | Effort | |----------|--------|-----------------|---------------|--------| | **A: Academic** | Class 6–O Level students in Dhaka | ₳11 Cr/year | Hold steady (legacy) | Low—operational | | **B: IELTS Pipeline** | Band 6→7.5+ abroad seekers (global) | ₳3 Cr → ₳5 Cr/year | ₳7–8 Cr | **High—growth engine** | | **C: Medical Books** | Doctors (MRCP, MRCS) | ₳2.4 Cr/year | ₳2.5 Cr | Low—passive | **Division B is your lever.** It's where automation lives and where you scale to 10 crore. --- ## **Division B Breakdown: The IELTS Automation Pipeline** ### **The Flow (4 Stages)** 1. **Notion Hub** (You write once) - Create a "Master Content" row: one IELTS insight or tip - Tags: topic, platform group, format - Status: "Ready for API" 2. **Groq API** (Automatic repurposing) - Takes your 1 core idea - Generates 5 platform-ready formats: - LinkedIn post (authority) - TikTok script (viral) - X thread (quotable) - Quora answer (expertise) - WhatsApp broadcast (nurture) 3. **Make.com** (Intelligent routing) - Receives the 5 formats - Routes to the correct 19 platforms - Schedules uploads - Handles API rate limits 4. **19 Platforms** (One-click distribution) - All platforms get content simultaneously - No manual copy-paste - No reformatting - No rescheduling **Time saved:** 50 hours/week → 5 hours/month planning only. --- ### **Where Each Platform Lives (And When)** **MONTH 1 — Primary Launch** (Week 1 setup, Week 2-4 daily posting) | Platform | Purpose | Format | Action | |----------|---------|--------|--------| | **Facebook** | Lead magnets + groups | Posts + lives | Create "2nd Brain IELTS" group; 1 live/week | | **Instagram** | Reels authority | 30-sec tips | Daily reel from Make.com | | **TikTok** | Viral reach | 60-sec videos | Daily auto-post to TikTok | | **YouTube** | Long-form SEO | 15-min tutorials | Upload weekly + Shorts daily | | **LinkedIn** | B2B/professional | Case studies + articles | 3 posts/week (authority angle) | | **Quora** | Answer authority | Detailed answers | 5 answers/day (expertise) | | **WhatsApp** | Nurture existing leads | Voice notes + tips | Broadcast daily to all contacts | | **Telegram** | Community hub | Channel posts + tips | Daily in "2nd Brain IELTS" channel | **MONTH 2 — Secondary Expansion** (Add freelance + tutoring streams) | Platform | Income Model | Setup Cost | Effort/Week | Monthly Potential | |----------|--------------|-----------|-------------|-------------------| | **Upwork** | IELTS gigs (writing, mocks) | 1 hour | 5 hrs | ₳30K–50K | | **Fiverr** | IELTS gigs (speaking, analysis) | 1 hour | 5 hrs | ₳20K–30K | | **Preply** | 1:1 tutoring ($10-15/hr) | 30 min | 10-15 hrs | ₳30K–50K | | **Cambly** | Speaking practice sessions | 30 min | 8-10 hrs | ₳20K–30K | | **Udemy** | Self-paced course (create once) | 20 hours (upfront) | 2 hrs/month | ₳15K–25K/month | **MONTH 3–6 — Tertiary Expansion** (Asian markets + localization) | Platform | Market | Localization | Timeline | |----------|--------|--------------|----------| | **Koo** | India (Hindi/Bengali) | Groq translates to local language | Month 3 | | **Kwai** | Vietnam/broader Asia | Cross-post TikToks | Month 3 | | **Line** | Thailand/Taiwan | Create Official Account | Month 4 | | **Zalo** | Vietnam | Join IELTS groups, share resources | Month 4 | | **WeChat** | China (requires assistant) | Mini-course + mini-program | Month 6 | --- ## **Revenue Architecture: How You Hit 10 Crore** ### **Starting Point (Today)** - IELTS batches (group + one-to-one): ₳3 Cr - Digital products (templates, guides): ₳72 Lakh - **Subtotal:** ₳3.72 Cr ### **Adding with Automation (By Month 12)** | Stream | Launch Month | Build Time | Monthly at Scale | Annual | |--------|--------------|-----------|------------------|--------| | Upwork/Fiverr gigs | Month 2 | 1 hour | ₳50K (50 orders) | ₳60 Lakh | | Preply/Cambly tutoring | Month 2 | 30 min | ₳85K (20 hrs/week) | ₳1 Cr | | Udemy courses | Month 3 | 20 hours | ₳2 Lakh (200 sales) | ₳25 Lakh | | IELTS writing correction service | Month 1 | 10 min | ₳1 Lakh (20 orders) | ₳12 Lakh | | YouTube ad revenue | Month 4 | Organic | ₳50K | ₳60 Lakh | | **New Total** | | | **₳5.9 Cr/year** | | ### **Scaling to 10 Crore (Year 2)** - Hire 2–3 tutors on Preply/Cambly (multiply income 3×) - Launch 3 more Udemy courses (Arabic, German, medical English) - Create franchise model for Indian partners (Koo, Kwai, Zalo) - Automate writing correction (AI pre-checking, you review only) - **→ 10 Crore becomes achievable** --- ## **Weekly Execution Rhythm (Your Calendar)** ### **Monday (30 min)** - [ ] Open Notion "Master Content" database - [ ] Add 3–5 core IELTS ideas (1–2 sentences each) - [ ] Tag by topic (reading, writing, speaking, grammar, vocabulary) - [ ] Mark "Ready for API" - [ ] Batch publish across all 19 platforms via Make.com trigger ### **Tuesday–Wednesday (1 hour total)** - [ ] Check Upwork/Fiverr for new orders - [ ] Deliver first writing corrections (within 24 hrs) - [ ] Schedule Preply/Cambly availability ### **Thursday (15 min)** - [ ] Respond to WhatsApp, Telegram, direct DMs - [ ] Add 2–3 testimonials from latest students to assets folder ### **Friday (30 min)** - [ ] Create 1 live session on Facebook/Zoom (optional, for authority) - [ ] Record behind-the-scenes: "Today's best IELTS tip" - [ ] Share to all platforms ### **Saturday (1 hour)** - [ ] Analyze analytics: - Which content performed best? - Which platforms have highest engagement? - Which freelance gigs converted? - [ ] Update Notion "Analytics" view ### **Sunday (30 min)** - [ ] Plan next week's 3–5 core ideas - [ ] Check gig descriptions on Upwork/Fiverr; optimize if needed - [ ] Review revenue dashboard - [ ] Adjust next week's priorities **Total: ~4 hours/week management** (down from 50 hours of manual posting) --- ## **Notion Template You Need (4 Databases)** ### **1. Master Content DB** | Field | Type | Example | |-------|------|---------| | Topic | Title | "IELTS Reading: Skimming strategy for Band 8" | | Tags | Multi-select | IELTS, Reading, Band 8, Speed | | Platforms | Multi-select | Content, Authority, Direct, Freelance | | Status | Select | Draft, Ready for API, Published | | Generated Content | Relation | [Link to output] | | Webhook | URL | [Make.com trigger] | ### **2. Platform Tracker DB** | Field | Type | Example | |-------|------|---------| | Platform | Select | Upwork, Preply, Facebook, etc. | | Account Status | Select | Active, Pending, Paused | | Follower/Subscriber Count | Number | 5,420 | | Monthly Revenue (Target) | Currency | ₳25,000 | | Weekly Action Items | Text | Post 1 video, respond to 5 messages, deliver 2 gigs | ### **3. Freelance Pipeline DB** | Field | Type | Example | |-------|------|---------| | Client | Text | John Doe | | Platform | Select | Upwork, Fiverr, Direct | | Service | Select | Writing correction, Mock test, 1:1 call | | Status | Select | Inquiry, Negotiating, In Progress, Delivered, Paid | | Amount (BDT) | Currency | ₳5,000 | | Deadline | Date | 2026-04-20 | | Notes | Text | 5 essays, standard turnaround | ### **4. Revenue Dashboard (Summary)** - **Total IELTS revenue (month):** Formula sum of all Freelance Pipeline paid items - **Platform breakdown:** Card widgets for Upwork, Fiverr, Preply, IELTS batches - **Trending:** Which platforms driving most revenue? - **Next month target:** ₳X --- ## **Immediate Next Steps (This Week)** **By End of Day:** - [ ] Copy the **Notion template bundle** I'll export (4 DBs ready to use) - [ ] Create Upwork and Fiverr accounts with "2nd Brain Education" profile - [ ] Write your first Upwork gig: "IELTS Writing Task 1 & 2 – Band 7+ Correction & Feedback" **By End of Week:** - [ ] Apply to Preply, Cambly, Udemy (5 minutes each) - [ ] Reserve usernames on Koo, Kwai, Line, Zalo - [ ] Set up Make.com account (free tier) - [ ] Schedule **one test automation**: Notion → Groq → TikTok/Instagram **By End of Month 1:** - [ ] All 19 platforms active with first posts live - [ ] First 5 gigs on Upwork/Fiverr (don't wait for perfection—launch) - [ ] Preply/Cambly: 5 scheduled sessions - [ ] 50+ hours saved vs manual posting --- ## **Why This Works (For You Specifically)** ✅ **Zero cost** — Notion free, Groq $0 (for startup), Make free tier ✅ **Solo** — No hiring needed first 3 months ✅ **Automation-first** — You hate busy work; this eliminates it ✅ **Proven niche** — IELTS is post-January 2026 uncontested ✅ **Six revenue streams** — Not dependent on one platform ✅ **Scales with systems** — At month 6 you can hire tutors; automation handles content --- **You have the map. You have the timeline. You have the revenue model.** The only missing piece is **execution starting Monday, March 9, 2026.** Would you like me to export the Notion template bundle, or start with the Make.com workflow setup first?
023
Grok Imagine Video
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨
099
FLUX
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib. See less Recent
069
Grok Imagine Video
He optimizado tu código para lograr una modulación vocal continua y fluida basada en los sliders, con caché de audio, timeouts y mejor manejo del estado. Ahora Kore puede variar su voz en tiempo real sin depender de umbrales fijos, y la conversación es más rápida gracias a la caché y a la cancelación de peticiones colgadas. ```javascript import React, { useState, useRef, useEffect, useCallback } from 'react'; import { Play, Square, Mic, MicOff, Settings2, Activity, Loader2, X, GripHorizontal, LayoutGrid, Zap, AlertCircle } from 'lucide-react'; // --- CONSTANTES --- const SILENT_WAV = "data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"; const TTS_TIMEOUT = 5000; // 5 segundos máximo para la síntesis const DEFAULT_API_KEY = 'AIzaSyBlkvy_Op-XlzSMSDDl9ip42dMFZX28MAA'; // ⚠️ Cámbiala por tu propia clave // --- UTILIDADES --- const base64ToWavBlob = (base64Data, sampleRate = 24000) => { const binaryString = window.atob(base64Data); const pcmData = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) pcmData[i] = binaryString.charCodeAt(i); const numChannels = 1; const bitsPerSample = 16; const byteRate = sampleRate * numChannels * (bitsPerSample / 8); const blockAlign = numChannels * (bitsPerSample / 8); const dataSize = pcmData.length; const buffer = new ArrayBuffer(44 + dataSize); const view = new DataView(buffer); const writeString = (view, offset, string) => { for (let i = 0; i < string.length; i++) view.setUint8(offset + i, string.charCodeAt(i)); }; writeString(view, 0, 'RIFF'); view.setUint32(4, 36 + dataSize, true); writeString(view, 8, 'WAVE'); writeString(view, 12, 'fmt '); view.setUint32(16, 16, true); view.setUint16(20, 1, true); view.setUint16(22, numChannels, true); view.setUint32(24, sampleRate, true); view.setUint32(28, byteRate, true); view.setUint16(32, blockAlign, true); view.setUint16(34, bitsPerSample, true); writeString(view, 36, 'data'); view.setUint32(40, dataSize, true); for (let i = 0; i < dataSize; i++) view.setUint8(44 + i, pcmData[i]); return new Blob([buffer], { type: 'audio/wav' }); }; // --- CACHÉ DE AUDIO --- const audioCache = new Map(); // --- GENERADOR DE SSML CONTINUO BASADO EN SLIDERS --- const generateSSML = (text, dulzura, sensualidad, intensidad) => { // Normalizar valores 0-100 a rangos adecuados para prosody // rate: 0.5 a 2.0 (1.0 es normal) const rate = 0.8 + (intensidad / 100) * 1.2; // 0.8 (lento) a 2.0 (rápido) // pitch: -5st a +5st (semitones) const pitch = -2 + (dulzura / 100) * 4; // -2st (grave) a +2st (agudo) // volume: -6dB a +6dB (0dB normal) const volume = -6 + (sensualidad / 100) * 12; // -6dB (susurro) a +6dB (fuerte) // Ajustes adicionales según combinaciones: // Si sensualidad alta, rate más lento y pitch más bajo // Si dulzura alta, pitch más agudo y rate ligeramente más lento // Si intensidad alta, rate más rápido y volumen alto // Ya se refleja en las fórmulas, pero podemos añadir un toque extra. const ssml = `<speak> <prosody rate="${rate.toFixed(2)}" pitch="${pitch.toFixed(0)}st" volume="${volume.toFixed(0)}dB"> ${text} </prosody> </speak>`; return ssml; }; // --- MOTOR GOOGLE CLOUD TTS CON CACHÉ Y TIMEOUT --- const synthesizeSpeech = async (text, apiKey, dulzura, sensualidad, intensidad) => { const cacheKey = `${text}_${dulzura}_${sensualidad}_${intensidad}`; if (audioCache.has(cacheKey)) { console.log('🎯 Usando audio cacheado'); return audioCache.get(cacheKey); } const ssml = generateSSML(text, dulzura, sensualidad, intensidad); const url = `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`; const body = { input: { ssml }, voice: { languageCode: 'es-ES', name: 'es-ES-Neural2-F', ssmlGender: 'FEMALE' }, audioConfig: { audioEncoding: 'LINEAR16', sampleRateHertz: 24000 } }; const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), TTS_TIMEOUT); try { const res = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body), signal: controller.signal }); clearTimeout(timeoutId); if (!res.ok) throw new Error(`TTS error: ${res.status}`); const data = await res.json(); audioCache.set(cacheKey, data.audioContent); return data.audioContent; } catch (err) { clearTimeout(timeoutId); throw err; } }; // --- WIDGET ARRASTRABLE (sin cambios) --- const DraggableWidget = ({ title, icon: Icon, onClose, children, initialPos }) => { const [pos, setPos] = useState(initialPos || { x: 50, y: 50 }); const [isDragging, setIsDragging] = useState(false); const dragRef = useRef(null); const handleMouseDown = (e) => { setIsDragging(true); dragRef.current = { startX: e.clientX, startY: e.clientY, initialX: pos.x, initialY: pos.y }; }; const handleMouseMove = (e) => { if (!isDragging) return; setPos({ x: Math.max(0, dragRef.current.initialX + (e.clientX - dragRef.current.startX)), y: Math.max(0, dragRef.current.initialY + (e.clientY - dragRef.current.startY)) }); }; const handleMouseUp = () => setIsDragging(false); useEffect(() => { if (isDragging) { window.addEventListener('mousemove', handleMouseMove); window.addEventListener('mouseup', handleMouseUp); } return () => { window.removeEventListener('mousemove', handleMouseMove); window.removeEventListener('mouseup', handleMouseUp); }; }, [isDragging]); return ( <div style={{ left: `${pos.x}px`, top: `${pos.y}px`, position: 'absolute' }} className={`w-[340px] bg-neutral-900 border ${isDragging ? 'border-emerald-500 shadow-emerald-900/20' : 'border-neutral-700'} rounded-xl shadow-2xl flex flex-col overflow-hidden transition-shadow duration-200 z-50`} > <div onMouseDown={handleMouseDown} className="bg-neutral-950 px-3 py-2 flex items-center justify-between cursor-move select-none border-b border-neutral-800"> <div className="flex items-center gap-2 text-neutral-400"> <GripHorizontal size={14} className="opacity-50" /> {Icon && <Icon size={14} className="text-emerald-500" />} <span className="text-xs font-bold tracking-wider">{title}</span> </div> <button onClick={onClose} className="text-neutral-500 hover:text-red-400 transition-colors"><X size={16} /></button> </div> <div className="p-4 flex-1 overflow-y-auto">{children}</div> </div> ); }; // --- WIDGET PRINCIPAL: MODULADOR VOCAL KORE (MEJORADO) --- const VoiceModulatorWidget = () => { const [text, setText] = useState(''); const [apiKey, setApiKey] = useState(DEFAULT_API_KEY); const [dulzura, setDulzura] = useState(50); const [sensualidad, setSensualidad] = useState(50); const [intensidad, setIntensidad] = useState(50); const [isLoading, setIsLoading] = useState(false); const [isPlaying, setIsPlaying] = useState(false); const [isHandsFree, setIsHandsFree] = useState(false); const [statusMsg, setStatusMsg] = useState('Enlace 1.5 Flash + GCP TTS Establecido.'); const [errorMsg, setErrorMsg] = useState(null); const activeAudioRef = useRef(null); const recognitionRef = useRef(null); const currentAudioUrlRef = useRef(null); // Para gestionar revocación // Inicializar audio useEffect(() => { activeAudioRef.current = new Audio(); activeAudioRef.current.preload = "auto"; return () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } } if (recognitionRef.current) recognitionRef.current.stop(); }; }, []); // Configurar reconocimiento de voz useEffect(() => { if (!('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { setErrorMsg('Reconocimiento de voz no soportado.'); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; recognitionRef.current = new SpeechRecognition(); recognitionRef.current.lang = 'es-ES'; recognitionRef.current.interimResults = false; recognitionRef.current.continuous = false; recognitionRef.current.onresult = async (event) => { const transcript = event.results[0][0].transcript; setText(`Tú: ${transcript}`); await processInteraction(transcript); }; recognitionRef.current.onerror = (event) => { if (event.error !== 'no-speech') { setErrorMsg(`Micrófono: ${event.error}`); setIsHandsFree(false); } }; recognitionRef.current.onend = () => { if (isHandsFree && !isPlaying && !isLoading) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; // Limpiar al desmontar return () => { if (recognitionRef.current) recognitionRef.current.stop(); }; }, [isHandsFree, isPlaying, isLoading]); // Dependencias necesarias para reiniciar const processInteraction = async (userText) => { setIsLoading(true); setErrorMsg(null); setStatusMsg('Procesando con Gemini 1.5 Flash...'); const key = apiKey.trim(); try { // 1. Llamada a Gemini con timeout const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), 5000); const payloadText = { contents: [{ parts: [{ text: userText }] }], systemInstruction: { parts: [{ text: `Eres Kore, 28 años, Huesca. Labia, directa, sensual, disruptiva. Responde en español, máx 20 palabras. REGLA INNEGOCIABLE: CERO PREGUNTAS.` }] } }; const resText = await fetch( `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${key}`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payloadText), signal: controller.signal } ); clearTimeout(timeoutId); if (!resText.ok) throw new Error(`Gemini error: ${resText.status}`); const dataText = await resText.json(); const aiText = dataText.candidates?.[0]?.content?.parts?.[0]?.text || "Mmm... vale."; setText(`Kore: ${aiText}`); // 2. Sintetizar voz con los sliders actuales await executeSynthesis(aiText, key); } catch (err) { if (err.name === 'AbortError') { setErrorMsg('Gemini timeout (5s)'); } else { setErrorMsg(err.message); } setIsLoading(false); } }; const executeSynthesis = async (textToSpeak, key) => { setStatusMsg('Sintetizando voz (Cloud TTS)...'); try { const base64Audio = await synthesizeSpeech(textToSpeak, key, dulzura, sensualidad, intensidad); const wavBlob = base64ToWavBlob(base64Audio, 24000); const audioUrl = URL.createObjectURL(wavBlob); // Revocar URL anterior si existe if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } currentAudioUrlRef.current = audioUrl; activeAudioRef.current.src = audioUrl; activeAudioRef.current.onended = () => { setIsPlaying(false); setStatusMsg('Transmisión completada.'); if (isHandsFree) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; setStatusMsg('Transmitiendo...'); setIsPlaying(true); setIsLoading(false); await activeAudioRef.current.play().catch(err => { throw new Error(`Autoplay bloqueado: ${err.message}`); }); } catch (error) { throw new Error(`Fallo TTS: ${error.message}`); } }; const handleManualPlay = async () => { if (!text.trim()) return setErrorMsg('Escribe algo primero.'); // Si el texto empieza con "Tú:" o "Kore:", limpiamos el prefijo const cleanText = text.replace(/^(Tú:|Kore:)\s*/, ''); if (!cleanText.trim()) return setErrorMsg('Texto vacío después de limpiar.'); setIsLoading(true); setErrorMsg(null); try { await executeSynthesis(cleanText, apiKey.trim()); } catch (err) { setErrorMsg(err.message); setIsLoading(false); } }; const toggleHandsFree = () => { if (!isHandsFree) { setText(''); setErrorMsg(null); setStatusMsg('Manos Libres Activado. Habla...'); // Desbloquear audio en algunos navegadores if (activeAudioRef.current) { activeAudioRef.current.src = SILENT_WAV; activeAudioRef.current.play().catch(() => {}); } try { recognitionRef.current.start(); } catch (e) {} } else { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Sistemas en pausa.'); if (recognitionRef.current) recognitionRef.current.stop(); } setIsHandsFree(!isHandsFree); }; const stopAudio = () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Señal interrumpida.'); }; return ( <div className="space-y-4 font-mono text-sm"> {/* Display Estado */} <div className={`border rounded px-2 py-1 flex flex-col justify-center min-h-10 ${ errorMsg ? 'bg-red-950/50 border-red-900' : isHandsFree ? 'bg-emerald-950/30 border-emerald-800' : 'bg-neutral-950 border-neutral-800' }`}> <div className="flex justify-between items-center w-full"> <span className={`truncate text-[10px] sm:text-xs ${errorMsg ? 'text-red-500' : 'text-emerald-500'}`}> > {errorMsg || statusMsg} </span> {isPlaying && !errorMsg && <Activity size={14} className="text-emerald-500 animate-pulse ml-2 flex-shrink-0" />} {isLoading && !errorMsg && <Zap size={14} className="text-amber-500 animate-pulse ml-2 flex-shrink-0" />} {isHandsFree && !isPlaying && !isLoading && !errorMsg && <Mic size={14} className="text-red-500 animate-pulse ml-2 flex-shrink-0" />} </div> </div> {/* Input Texto / Log */} <textarea value={text} onChange={(e) => setText(e.target.value)} className="w-full bg-neutral-950/50 border border-neutral-700 rounded p-2 text-xs text-neutral-300 focus:outline-none focus:border-emerald-500 resize-none h-20" placeholder={isHandsFree ? "Escuchando transcripción en tiempo real..." : "Escribe texto directo o activa Manos Libres..."} readOnly={isHandsFree || isLoading} /> {/* Sliders continuos (controlan SSML en tiempo real) */} <div className="space-y-3 bg-neutral-950/30 p-3 rounded border border-neutral-800"> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Agresiva</span><span className="text-emerald-400">Dulzura [{dulzura}]</span><span>Dulce</span> </div> <input type="range" min="0" max="100" value={dulzura} onChange={(e)=>setDulzura(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-emerald-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Robótica</span><span className="text-pink-400">Aura [{sensualidad}]</span><span>Sensual</span> </div> <input type="range" min="0" max="100" value={sensualidad} onChange={(e)=>setSensualidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-pink-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Atenuada</span><span className="text-amber-400">Intensidad [{intensidad}]</span><span>Fuerte</span> </div> <input type="range" min="0" max="100" value={intensidad} onChange={(e)=>setIntensidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-amber-500 cursor-pointer" /> </div> </div> {/* Botones de Control */} <div className="flex flex-col sm:flex-row gap-2"> <button onClick={toggleHandsFree} disabled={isLoading} className={`flex-1 py-2 rounded text-xs font-bold flex items-center justify-center gap-2 transition-colors border ${ isHandsFree ? 'bg-red-900/20 text-red-400 border-red-900/50 hover:bg-red-900/40 shadow-[0_0_10px_rgba(239,68,68,0.2)]' : 'bg-indigo-900/20 text-indigo-400 border-indigo-900/50 hover:bg-indigo-900/40' }`} > {isHandsFree ? <MicOff size={14} /> : <Mic size={14} />} {isHandsFree ? 'Detener Escucha' : 'Manos Libres'} </button> <div className="flex gap-2 flex-1"> <button onClick={handleManualPlay} disabled={isLoading || isPlaying || isHandsFree} className="flex-1 bg-emerald-600/20 hover:bg-emerald-600/40 text-emerald-400 border border-emerald-600/50 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center gap-1 transition-colors" > {isLoading ? <Loader2 size={14} className="animate-spin" /> : <Play size={14} />} Sintetizar </button> <button onClick={stopAudio} disabled={!isPlaying && !isHandsFree} className="px-4 bg-neutral-800 hover:bg-neutral-700 text-neutral-400 border border-neutral-700 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center transition-colors" > <Square size={14} /> </button> </div> </div> {/* Botón para limpiar caché (opcional) */} <div className="text-right"> <button onClick={() => audioCache.clear()} className="text-[8px] text-neutral-600 hover:text-neutral-400 underline" > limpiar caché de audio </button> </div> </div> ); }; // --- ENTORNO ESCRITORIO (sin cambios) --- export default function App() { const [widgets, setWidgets] = useState({ voice: { isOpen: true, pos: { x: window.innerWidth > 768 ? window.innerWidth / 2 - 170 : 20, y: 40 } } }); const toggleWidget = (id) => { setWidgets(prev => ({ ...prev, [id]: { ...prev[id], isOpen: !prev[id].isOpen } })); }; return ( <div className="w-full h-screen bg-neutral-950 bg-[radial-gradient(ellipse_80%_80%_at_50%_-20%,rgba(16,185,129,0.1),rgba(0,0,0,1))] overflow-hidden relative font-sans text-neutral-200"> <div className="absolute inset-0 flex items-center justify-center opacity-[0.02] pointer-events-none"><Settings2 size={500} /></div> {widgets.voice.isOpen && ( <DraggableWidget title="MODULADOR VOCAL KORE" icon={Zap} initialPos={widgets.voice.pos} onClose={() => toggleWidget('voice')}> <VoiceModulatorWidget /> </DraggableWidget> )} <div className="absolute bottom-6 left-1/2 transform -translate-x-1/2 bg-neutral-900/80 backdrop-blur-md border border-neutral-700/50 p-2 rounded-2xl shadow-2xl flex gap-2 z-[100]"> <div className="px-3 flex items-center border-r border-neutral-700/50 text-neutral-500"><LayoutGrid size={20} /></div> <button onClick={() => toggleWidget('voice')} className={`px-4 py-2 rounded-xl flex items-center gap-2 text-sm font-medium transition-all ${
048
Hero
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
015
Hero
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib.
011
Deployment & Practical Feasibility (Very Important for Civic Use) ●Target deployment environment (Cloud / On-Premise / Hybrid) ➢ Target Deployment Environment — Hybrid Architecture Component Location Kiosk App Edge device APIs Government cloud Database Secure cloud Notifications Cloud Hybrid Architecture Benefits • Scalability • Reliability • Data security ●Estimated infrastructure requirement ➢ Estimated Infrastructure per Kiosk Hardware Requirements • Mini PC (i5 / Ryzen 5) • 8GB RAM • 256GB SSD • 24” touchscreen • Camera (OCR support) • Microphone + speakers • Thermal printer • 4G router • NFC / QR card reader Approximate Cost ₹50,000 – ₹60,000 per kiosk ●Internet dependency (Low / Medium / High) ➢ Internet Dependency Level: Medium Required for • DigiLocker integration • Payment processing • API communication ●Offline mode support (Yes/No) ➢ Offline Mode Support Availability: YES Offline Features • UI operates locally • Complaints cached locally • Automatic synchronization when internet is restored
07
Hero
## **Your Unified Operating System — Merged & Executable** You now have **three divisions working toward one 10-crore goal**, with automation pumping content to 19 platforms automatically. Here's how to think about it: --- ## **The Three Divisions (What You Run)** | Division | Target | Current Revenue | 12-Month Goal | Effort | |----------|--------|-----------------|---------------|--------| | **A: Academic** | Class 6–O Level students in Dhaka | ₳11 Cr/year | Hold steady (legacy) | Low—operational | | **B: IELTS Pipeline** | Band 6→7.5+ abroad seekers (global) | ₳3 Cr → ₳5 Cr/year | ₳7–8 Cr | **High—growth engine** | | **C: Medical Books** | Doctors (MRCP, MRCS) | ₳2.4 Cr/year | ₳2.5 Cr | Low—passive | **Division B is your lever.** It's where automation lives and where you scale to 10 crore. --- ## **Division B Breakdown: The IELTS Automation Pipeline** ### **The Flow (4 Stages)** 1. **Notion Hub** (You write once) - Create a "Master Content" row: one IELTS insight or tip - Tags: topic, platform group, format - Status: "Ready for API" 2. **Groq API** (Automatic repurposing) - Takes your 1 core idea - Generates 5 platform-ready formats: - LinkedIn post (authority) - TikTok script (viral) - X thread (quotable) - Quora answer (expertise) - WhatsApp broadcast (nurture) 3. **Make.com** (Intelligent routing) - Receives the 5 formats - Routes to the correct 19 platforms - Schedules uploads - Handles API rate limits 4. **19 Platforms** (One-click distribution) - All platforms get content simultaneously - No manual copy-paste - No reformatting - No rescheduling **Time saved:** 50 hours/week → 5 hours/month planning only. --- ### **Where Each Platform Lives (And When)** **MONTH 1 — Primary Launch** (Week 1 setup, Week 2-4 daily posting) | Platform | Purpose | Format | Action | |----------|---------|--------|--------| | **Facebook** | Lead magnets + groups | Posts + lives | Create "2nd Brain IELTS" group; 1 live/week | | **Instagram** | Reels authority | 30-sec tips | Daily reel from Make.com | | **TikTok** | Viral reach | 60-sec videos | Daily auto-post to TikTok | | **YouTube** | Long-form SEO | 15-min tutorials | Upload weekly + Shorts daily | | **LinkedIn** | B2B/professional | Case studies + articles | 3 posts/week (authority angle) | | **Quora** | Answer authority | Detailed answers | 5 answers/day (expertise) | | **WhatsApp** | Nurture existing leads | Voice notes + tips | Broadcast daily to all contacts | | **Telegram** | Community hub | Channel posts + tips | Daily in "2nd Brain IELTS" channel | **MONTH 2 — Secondary Expansion** (Add freelance + tutoring streams) | Platform | Income Model | Setup Cost | Effort/Week | Monthly Potential | |----------|--------------|-----------|-------------|-------------------| | **Upwork** | IELTS gigs (writing, mocks) | 1 hour | 5 hrs | ₳30K–50K | | **Fiverr** | IELTS gigs (speaking, analysis) | 1 hour | 5 hrs | ₳20K–30K | | **Preply** | 1:1 tutoring ($10-15/hr) | 30 min | 10-15 hrs | ₳30K–50K | | **Cambly** | Speaking practice sessions | 30 min | 8-10 hrs | ₳20K–30K | | **Udemy** | Self-paced course (create once) | 20 hours (upfront) | 2 hrs/month | ₳15K–25K/month | **MONTH 3–6 — Tertiary Expansion** (Asian markets + localization) | Platform | Market | Localization | Timeline | |----------|--------|--------------|----------| | **Koo** | India (Hindi/Bengali) | Groq translates to local language | Month 3 | | **Kwai** | Vietnam/broader Asia | Cross-post TikToks | Month 3 | | **Line** | Thailand/Taiwan | Create Official Account | Month 4 | | **Zalo** | Vietnam | Join IELTS groups, share resources | Month 4 | | **WeChat** | China (requires assistant) | Mini-course + mini-program | Month 6 | --- ## **Revenue Architecture: How You Hit 10 Crore** ### **Starting Point (Today)** - IELTS batches (group + one-to-one): ₳3 Cr - Digital products (templates, guides): ₳72 Lakh - **Subtotal:** ₳3.72 Cr ### **Adding with Automation (By Month 12)** | Stream | Launch Month | Build Time | Monthly at Scale | Annual | |--------|--------------|-----------|------------------|--------| | Upwork/Fiverr gigs | Month 2 | 1 hour | ₳50K (50 orders) | ₳60 Lakh | | Preply/Cambly tutoring | Month 2 | 30 min | ₳85K (20 hrs/week) | ₳1 Cr | | Udemy courses | Month 3 | 20 hours | ₳2 Lakh (200 sales) | ₳25 Lakh | | IELTS writing correction service | Month 1 | 10 min | ₳1 Lakh (20 orders) | ₳12 Lakh | | YouTube ad revenue | Month 4 | Organic | ₳50K | ₳60 Lakh | | **New Total** | | | **₳5.9 Cr/year** | | ### **Scaling to 10 Crore (Year 2)** - Hire 2–3 tutors on Preply/Cambly (multiply income 3×) - Launch 3 more Udemy courses (Arabic, German, medical English) - Create franchise model for Indian partners (Koo, Kwai, Zalo) - Automate writing correction (AI pre-checking, you review only) - **→ 10 Crore becomes achievable** --- ## **Weekly Execution Rhythm (Your Calendar)** ### **Monday (30 min)** - [ ] Open Notion "Master Content" database - [ ] Add 3–5 core IELTS ideas (1–2 sentences each) - [ ] Tag by topic (reading, writing, speaking, grammar, vocabulary) - [ ] Mark "Ready for API" - [ ] Batch publish across all 19 platforms via Make.com trigger ### **Tuesday–Wednesday (1 hour total)** - [ ] Check Upwork/Fiverr for new orders - [ ] Deliver first writing corrections (within 24 hrs) - [ ] Schedule Preply/Cambly availability ### **Thursday (15 min)** - [ ] Respond to WhatsApp, Telegram, direct DMs - [ ] Add 2–3 testimonials from latest students to assets folder ### **Friday (30 min)** - [ ] Create 1 live session on Facebook/Zoom (optional, for authority) - [ ] Record behind-the-scenes: "Today's best IELTS tip" - [ ] Share to all platforms ### **Saturday (1 hour)** - [ ] Analyze analytics: - Which content performed best? - Which platforms have highest engagement? - Which freelance gigs converted? - [ ] Update Notion "Analytics" view ### **Sunday (30 min)** - [ ] Plan next week's 3–5 core ideas - [ ] Check gig descriptions on Upwork/Fiverr; optimize if needed - [ ] Review revenue dashboard - [ ] Adjust next week's priorities **Total: ~4 hours/week management** (down from 50 hours of manual posting) --- ## **Notion Template You Need (4 Databases)** ### **1. Master Content DB** | Field | Type | Example | |-------|------|---------| | Topic | Title | "IELTS Reading: Skimming strategy for Band 8" | | Tags | Multi-select | IELTS, Reading, Band 8, Speed | | Platforms | Multi-select | Content, Authority, Direct, Freelance | | Status | Select | Draft, Ready for API, Published | | Generated Content | Relation | [Link to output] | | Webhook | URL | [Make.com trigger] | ### **2. Platform Tracker DB** | Field | Type | Example | |-------|------|---------| | Platform | Select | Upwork, Preply, Facebook, etc. | | Account Status | Select | Active, Pending, Paused | | Follower/Subscriber Count | Number | 5,420 | | Monthly Revenue (Target) | Currency | ₳25,000 | | Weekly Action Items | Text | Post 1 video, respond to 5 messages, deliver 2 gigs | ### **3. Freelance Pipeline DB** | Field | Type | Example | |-------|------|---------| | Client | Text | John Doe | | Platform | Select | Upwork, Fiverr, Direct | | Service | Select | Writing correction, Mock test, 1:1 call | | Status | Select | Inquiry, Negotiating, In Progress, Delivered, Paid | | Amount (BDT) | Currency | ₳5,000 | | Deadline | Date | 2026-04-20 | | Notes | Text | 5 essays, standard turnaround | ### **4. Revenue Dashboard (Summary)** - **Total IELTS revenue (month):** Formula sum of all Freelance Pipeline paid items - **Platform breakdown:** Card widgets for Upwork, Fiverr, Preply, IELTS batches - **Trending:** Which platforms driving most revenue? - **Next month target:** ₳X --- ## **Immediate Next Steps (This Week)** **By End of Day:** - [ ] Copy the **Notion template bundle** I'll export (4 DBs ready to use) - [ ] Create Upwork and Fiverr accounts with "2nd Brain Education" profile - [ ] Write your first Upwork gig: "IELTS Writing Task 1 & 2 – Band 7+ Correction & Feedback" **By End of Week:** - [ ] Apply to Preply, Cambly, Udemy (5 minutes each) - [ ] Reserve usernames on Koo, Kwai, Line, Zalo - [ ] Set up Make.com account (free tier) - [ ] Schedule **one test automation**: Notion → Groq → TikTok/Instagram **By End of Month 1:** - [ ] All 19 platforms active with first posts live - [ ] First 5 gigs on Upwork/Fiverr (don't wait for perfection—launch) - [ ] Preply/Cambly: 5 scheduled sessions - [ ] 50+ hours saved vs manual posting --- ## **Why This Works (For You Specifically)** ✅ **Zero cost** — Notion free, Groq $0 (for startup), Make free tier ✅ **Solo** — No hiring needed first 3 months ✅ **Automation-first** — You hate busy work; this eliminates it ✅ **Proven niche** — IELTS is post-January 2026 uncontested ✅ **Six revenue streams** — Not dependent on one platform ✅ **Scales with systems** — At month 6 you can hire tutors; automation handles content --- **You have the map. You have the timeline. You have the revenue model.** The only missing piece is **execution starting Monday, March 9, 2026.** Would you like me to export the Notion template bundle, or start with the Make.com workflow setup first?
023
Grok Imagine Video
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨
099
FLUX
He optimizado tu código para lograr una modulación vocal continua y fluida basada en los sliders, con caché de audio, timeouts y mejor manejo del estado. Ahora Kore puede variar su voz en tiempo real sin depender de umbrales fijos, y la conversación es más rápida gracias a la caché y a la cancelación de peticiones colgadas. ```javascript import React, { useState, useRef, useEffect, useCallback } from 'react'; import { Play, Square, Mic, MicOff, Settings2, Activity, Loader2, X, GripHorizontal, LayoutGrid, Zap, AlertCircle } from 'lucide-react'; // --- CONSTANTES --- const SILENT_WAV = "data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"; const TTS_TIMEOUT = 5000; // 5 segundos máximo para la síntesis const DEFAULT_API_KEY = 'AIzaSyBlkvy_Op-XlzSMSDDl9ip42dMFZX28MAA'; // ⚠️ Cámbiala por tu propia clave // --- UTILIDADES --- const base64ToWavBlob = (base64Data, sampleRate = 24000) => { const binaryString = window.atob(base64Data); const pcmData = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) pcmData[i] = binaryString.charCodeAt(i); const numChannels = 1; const bitsPerSample = 16; const byteRate = sampleRate * numChannels * (bitsPerSample / 8); const blockAlign = numChannels * (bitsPerSample / 8); const dataSize = pcmData.length; const buffer = new ArrayBuffer(44 + dataSize); const view = new DataView(buffer); const writeString = (view, offset, string) => { for (let i = 0; i < string.length; i++) view.setUint8(offset + i, string.charCodeAt(i)); }; writeString(view, 0, 'RIFF'); view.setUint32(4, 36 + dataSize, true); writeString(view, 8, 'WAVE'); writeString(view, 12, 'fmt '); view.setUint32(16, 16, true); view.setUint16(20, 1, true); view.setUint16(22, numChannels, true); view.setUint32(24, sampleRate, true); view.setUint32(28, byteRate, true); view.setUint16(32, blockAlign, true); view.setUint16(34, bitsPerSample, true); writeString(view, 36, 'data'); view.setUint32(40, dataSize, true); for (let i = 0; i < dataSize; i++) view.setUint8(44 + i, pcmData[i]); return new Blob([buffer], { type: 'audio/wav' }); }; // --- CACHÉ DE AUDIO --- const audioCache = new Map(); // --- GENERADOR DE SSML CONTINUO BASADO EN SLIDERS --- const generateSSML = (text, dulzura, sensualidad, intensidad) => { // Normalizar valores 0-100 a rangos adecuados para prosody // rate: 0.5 a 2.0 (1.0 es normal) const rate = 0.8 + (intensidad / 100) * 1.2; // 0.8 (lento) a 2.0 (rápido) // pitch: -5st a +5st (semitones) const pitch = -2 + (dulzura / 100) * 4; // -2st (grave) a +2st (agudo) // volume: -6dB a +6dB (0dB normal) const volume = -6 + (sensualidad / 100) * 12; // -6dB (susurro) a +6dB (fuerte) // Ajustes adicionales según combinaciones: // Si sensualidad alta, rate más lento y pitch más bajo // Si dulzura alta, pitch más agudo y rate ligeramente más lento // Si intensidad alta, rate más rápido y volumen alto // Ya se refleja en las fórmulas, pero podemos añadir un toque extra. const ssml = `<speak> <prosody rate="${rate.toFixed(2)}" pitch="${pitch.toFixed(0)}st" volume="${volume.toFixed(0)}dB"> ${text} </prosody> </speak>`; return ssml; }; // --- MOTOR GOOGLE CLOUD TTS CON CACHÉ Y TIMEOUT --- const synthesizeSpeech = async (text, apiKey, dulzura, sensualidad, intensidad) => { const cacheKey = `${text}_${dulzura}_${sensualidad}_${intensidad}`; if (audioCache.has(cacheKey)) { console.log('🎯 Usando audio cacheado'); return audioCache.get(cacheKey); } const ssml = generateSSML(text, dulzura, sensualidad, intensidad); const url = `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`; const body = { input: { ssml }, voice: { languageCode: 'es-ES', name: 'es-ES-Neural2-F', ssmlGender: 'FEMALE' }, audioConfig: { audioEncoding: 'LINEAR16', sampleRateHertz: 24000 } }; const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), TTS_TIMEOUT); try { const res = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body), signal: controller.signal }); clearTimeout(timeoutId); if (!res.ok) throw new Error(`TTS error: ${res.status}`); const data = await res.json(); audioCache.set(cacheKey, data.audioContent); return data.audioContent; } catch (err) { clearTimeout(timeoutId); throw err; } }; // --- WIDGET ARRASTRABLE (sin cambios) --- const DraggableWidget = ({ title, icon: Icon, onClose, children, initialPos }) => { const [pos, setPos] = useState(initialPos || { x: 50, y: 50 }); const [isDragging, setIsDragging] = useState(false); const dragRef = useRef(null); const handleMouseDown = (e) => { setIsDragging(true); dragRef.current = { startX: e.clientX, startY: e.clientY, initialX: pos.x, initialY: pos.y }; }; const handleMouseMove = (e) => { if (!isDragging) return; setPos({ x: Math.max(0, dragRef.current.initialX + (e.clientX - dragRef.current.startX)), y: Math.max(0, dragRef.current.initialY + (e.clientY - dragRef.current.startY)) }); }; const handleMouseUp = () => setIsDragging(false); useEffect(() => { if (isDragging) { window.addEventListener('mousemove', handleMouseMove); window.addEventListener('mouseup', handleMouseUp); } return () => { window.removeEventListener('mousemove', handleMouseMove); window.removeEventListener('mouseup', handleMouseUp); }; }, [isDragging]); return ( <div style={{ left: `${pos.x}px`, top: `${pos.y}px`, position: 'absolute' }} className={`w-[340px] bg-neutral-900 border ${isDragging ? 'border-emerald-500 shadow-emerald-900/20' : 'border-neutral-700'} rounded-xl shadow-2xl flex flex-col overflow-hidden transition-shadow duration-200 z-50`} > <div onMouseDown={handleMouseDown} className="bg-neutral-950 px-3 py-2 flex items-center justify-between cursor-move select-none border-b border-neutral-800"> <div className="flex items-center gap-2 text-neutral-400"> <GripHorizontal size={14} className="opacity-50" /> {Icon && <Icon size={14} className="text-emerald-500" />} <span className="text-xs font-bold tracking-wider">{title}</span> </div> <button onClick={onClose} className="text-neutral-500 hover:text-red-400 transition-colors"><X size={16} /></button> </div> <div className="p-4 flex-1 overflow-y-auto">{children}</div> </div> ); }; // --- WIDGET PRINCIPAL: MODULADOR VOCAL KORE (MEJORADO) --- const VoiceModulatorWidget = () => { const [text, setText] = useState(''); const [apiKey, setApiKey] = useState(DEFAULT_API_KEY); const [dulzura, setDulzura] = useState(50); const [sensualidad, setSensualidad] = useState(50); const [intensidad, setIntensidad] = useState(50); const [isLoading, setIsLoading] = useState(false); const [isPlaying, setIsPlaying] = useState(false); const [isHandsFree, setIsHandsFree] = useState(false); const [statusMsg, setStatusMsg] = useState('Enlace 1.5 Flash + GCP TTS Establecido.'); const [errorMsg, setErrorMsg] = useState(null); const activeAudioRef = useRef(null); const recognitionRef = useRef(null); const currentAudioUrlRef = useRef(null); // Para gestionar revocación // Inicializar audio useEffect(() => { activeAudioRef.current = new Audio(); activeAudioRef.current.preload = "auto"; return () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } } if (recognitionRef.current) recognitionRef.current.stop(); }; }, []); // Configurar reconocimiento de voz useEffect(() => { if (!('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { setErrorMsg('Reconocimiento de voz no soportado.'); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; recognitionRef.current = new SpeechRecognition(); recognitionRef.current.lang = 'es-ES'; recognitionRef.current.interimResults = false; recognitionRef.current.continuous = false; recognitionRef.current.onresult = async (event) => { const transcript = event.results[0][0].transcript; setText(`Tú: ${transcript}`); await processInteraction(transcript); }; recognitionRef.current.onerror = (event) => { if (event.error !== 'no-speech') { setErrorMsg(`Micrófono: ${event.error}`); setIsHandsFree(false); } }; recognitionRef.current.onend = () => { if (isHandsFree && !isPlaying && !isLoading) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; // Limpiar al desmontar return () => { if (recognitionRef.current) recognitionRef.current.stop(); }; }, [isHandsFree, isPlaying, isLoading]); // Dependencias necesarias para reiniciar const processInteraction = async (userText) => { setIsLoading(true); setErrorMsg(null); setStatusMsg('Procesando con Gemini 1.5 Flash...'); const key = apiKey.trim(); try { // 1. Llamada a Gemini con timeout const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), 5000); const payloadText = { contents: [{ parts: [{ text: userText }] }], systemInstruction: { parts: [{ text: `Eres Kore, 28 años, Huesca. Labia, directa, sensual, disruptiva. Responde en español, máx 20 palabras. REGLA INNEGOCIABLE: CERO PREGUNTAS.` }] } }; const resText = await fetch( `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${key}`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payloadText), signal: controller.signal } ); clearTimeout(timeoutId); if (!resText.ok) throw new Error(`Gemini error: ${resText.status}`); const dataText = await resText.json(); const aiText = dataText.candidates?.[0]?.content?.parts?.[0]?.text || "Mmm... vale."; setText(`Kore: ${aiText}`); // 2. Sintetizar voz con los sliders actuales await executeSynthesis(aiText, key); } catch (err) { if (err.name === 'AbortError') { setErrorMsg('Gemini timeout (5s)'); } else { setErrorMsg(err.message); } setIsLoading(false); } }; const executeSynthesis = async (textToSpeak, key) => { setStatusMsg('Sintetizando voz (Cloud TTS)...'); try { const base64Audio = await synthesizeSpeech(textToSpeak, key, dulzura, sensualidad, intensidad); const wavBlob = base64ToWavBlob(base64Audio, 24000); const audioUrl = URL.createObjectURL(wavBlob); // Revocar URL anterior si existe if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } currentAudioUrlRef.current = audioUrl; activeAudioRef.current.src = audioUrl; activeAudioRef.current.onended = () => { setIsPlaying(false); setStatusMsg('Transmisión completada.'); if (isHandsFree) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; setStatusMsg('Transmitiendo...'); setIsPlaying(true); setIsLoading(false); await activeAudioRef.current.play().catch(err => { throw new Error(`Autoplay bloqueado: ${err.message}`); }); } catch (error) { throw new Error(`Fallo TTS: ${error.message}`); } }; const handleManualPlay = async () => { if (!text.trim()) return setErrorMsg('Escribe algo primero.'); // Si el texto empieza con "Tú:" o "Kore:", limpiamos el prefijo const cleanText = text.replace(/^(Tú:|Kore:)\s*/, ''); if (!cleanText.trim()) return setErrorMsg('Texto vacío después de limpiar.'); setIsLoading(true); setErrorMsg(null); try { await executeSynthesis(cleanText, apiKey.trim()); } catch (err) { setErrorMsg(err.message); setIsLoading(false); } }; const toggleHandsFree = () => { if (!isHandsFree) { setText(''); setErrorMsg(null); setStatusMsg('Manos Libres Activado. Habla...'); // Desbloquear audio en algunos navegadores if (activeAudioRef.current) { activeAudioRef.current.src = SILENT_WAV; activeAudioRef.current.play().catch(() => {}); } try { recognitionRef.current.start(); } catch (e) {} } else { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Sistemas en pausa.'); if (recognitionRef.current) recognitionRef.current.stop(); } setIsHandsFree(!isHandsFree); }; const stopAudio = () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Señal interrumpida.'); }; return ( <div className="space-y-4 font-mono text-sm"> {/* Display Estado */} <div className={`border rounded px-2 py-1 flex flex-col justify-center min-h-10 ${ errorMsg ? 'bg-red-950/50 border-red-900' : isHandsFree ? 'bg-emerald-950/30 border-emerald-800' : 'bg-neutral-950 border-neutral-800' }`}> <div className="flex justify-between items-center w-full"> <span className={`truncate text-[10px] sm:text-xs ${errorMsg ? 'text-red-500' : 'text-emerald-500'}`}> > {errorMsg || statusMsg} </span> {isPlaying && !errorMsg && <Activity size={14} className="text-emerald-500 animate-pulse ml-2 flex-shrink-0" />} {isLoading && !errorMsg && <Zap size={14} className="text-amber-500 animate-pulse ml-2 flex-shrink-0" />} {isHandsFree && !isPlaying && !isLoading && !errorMsg && <Mic size={14} className="text-red-500 animate-pulse ml-2 flex-shrink-0" />} </div> </div> {/* Input Texto / Log */} <textarea value={text} onChange={(e) => setText(e.target.value)} className="w-full bg-neutral-950/50 border border-neutral-700 rounded p-2 text-xs text-neutral-300 focus:outline-none focus:border-emerald-500 resize-none h-20" placeholder={isHandsFree ? "Escuchando transcripción en tiempo real..." : "Escribe texto directo o activa Manos Libres..."} readOnly={isHandsFree || isLoading} /> {/* Sliders continuos (controlan SSML en tiempo real) */} <div className="space-y-3 bg-neutral-950/30 p-3 rounded border border-neutral-800"> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Agresiva</span><span className="text-emerald-400">Dulzura [{dulzura}]</span><span>Dulce</span> </div> <input type="range" min="0" max="100" value={dulzura} onChange={(e)=>setDulzura(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-emerald-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Robótica</span><span className="text-pink-400">Aura [{sensualidad}]</span><span>Sensual</span> </div> <input type="range" min="0" max="100" value={sensualidad} onChange={(e)=>setSensualidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-pink-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Atenuada</span><span className="text-amber-400">Intensidad [{intensidad}]</span><span>Fuerte</span> </div> <input type="range" min="0" max="100" value={intensidad} onChange={(e)=>setIntensidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-amber-500 cursor-pointer" /> </div> </div> {/* Botones de Control */} <div className="flex flex-col sm:flex-row gap-2"> <button onClick={toggleHandsFree} disabled={isLoading} className={`flex-1 py-2 rounded text-xs font-bold flex items-center justify-center gap-2 transition-colors border ${ isHandsFree ? 'bg-red-900/20 text-red-400 border-red-900/50 hover:bg-red-900/40 shadow-[0_0_10px_rgba(239,68,68,0.2)]' : 'bg-indigo-900/20 text-indigo-400 border-indigo-900/50 hover:bg-indigo-900/40' }`} > {isHandsFree ? <MicOff size={14} /> : <Mic size={14} />} {isHandsFree ? 'Detener Escucha' : 'Manos Libres'} </button> <div className="flex gap-2 flex-1"> <button onClick={handleManualPlay} disabled={isLoading || isPlaying || isHandsFree} className="flex-1 bg-emerald-600/20 hover:bg-emerald-600/40 text-emerald-400 border border-emerald-600/50 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center gap-1 transition-colors" > {isLoading ? <Loader2 size={14} className="animate-spin" /> : <Play size={14} />} Sintetizar </button> <button onClick={stopAudio} disabled={!isPlaying && !isHandsFree} className="px-4 bg-neutral-800 hover:bg-neutral-700 text-neutral-400 border border-neutral-700 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center transition-colors" > <Square size={14} /> </button> </div> </div> {/* Botón para limpiar caché (opcional) */} <div className="text-right"> <button onClick={() => audioCache.clear()} className="text-[8px] text-neutral-600 hover:text-neutral-400 underline" > limpiar caché de audio </button> </div> </div> ); }; // --- ENTORNO ESCRITORIO (sin cambios) --- export default function App() { const [widgets, setWidgets] = useState({ voice: { isOpen: true, pos: { x: window.innerWidth > 768 ? window.innerWidth / 2 - 170 : 20, y: 40 } } }); const toggleWidget = (id) => { setWidgets(prev => ({ ...prev, [id]: { ...prev[id], isOpen: !prev[id].isOpen } })); }; return ( <div className="w-full h-screen bg-neutral-950 bg-[radial-gradient(ellipse_80%_80%_at_50%_-20%,rgba(16,185,129,0.1),rgba(0,0,0,1))] overflow-hidden relative font-sans text-neutral-200"> <div className="absolute inset-0 flex items-center justify-center opacity-[0.02] pointer-events-none"><Settings2 size={500} /></div> {widgets.voice.isOpen && ( <DraggableWidget title="MODULADOR VOCAL KORE" icon={Zap} initialPos={widgets.voice.pos} onClose={() => toggleWidget('voice')}> <VoiceModulatorWidget /> </DraggableWidget> )} <div className="absolute bottom-6 left-1/2 transform -translate-x-1/2 bg-neutral-900/80 backdrop-blur-md border border-neutral-700/50 p-2 rounded-2xl shadow-2xl flex gap-2 z-[100]"> <div className="px-3 flex items-center border-r border-neutral-700/50 text-neutral-500"><LayoutGrid size={20} /></div> <button onClick={() => toggleWidget('voice')} className={`px-4 py-2 rounded-xl flex items-center gap-2 text-sm font-medium transition-all ${
048
Hero
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
015
Hero
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib.
011
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨 with 4k resolution
183
FLUX
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib. See less Recent
069
Grok Imagine Video
Deployment & Practical Feasibility (Very Important for Civic Use) ●Target deployment environment (Cloud / On-Premise / Hybrid) ➢ Target Deployment Environment — Hybrid Architecture Component Location Kiosk App Edge device APIs Government cloud Database Secure cloud Notifications Cloud Hybrid Architecture Benefits • Scalability • Reliability • Data security ●Estimated infrastructure requirement ➢ Estimated Infrastructure per Kiosk Hardware Requirements • Mini PC (i5 / Ryzen 5) • 8GB RAM • 256GB SSD • 24” touchscreen • Camera (OCR support) • Microphone + speakers • Thermal printer • 4G router • NFC / QR card reader Approximate Cost ₹50,000 – ₹60,000 per kiosk ●Internet dependency (Low / Medium / High) ➢ Internet Dependency Level: Medium Required for • DigiLocker integration • Payment processing • API communication ●Offline mode support (Yes/No) ➢ Offline Mode Support Availability: YES Offline Features • UI operates locally • Complaints cached locally • Automatic synchronization when internet is restored
07
Hero
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨 with 4k resolution
183
FLUX
He optimizado tu código para lograr una modulación vocal continua y fluida basada en los sliders, con caché de audio, timeouts y mejor manejo del estado. Ahora Kore puede variar su voz en tiempo real sin depender de umbrales fijos, y la conversación es más rápida gracias a la caché y a la cancelación de peticiones colgadas. ```javascript import React, { useState, useRef, useEffect, useCallback } from 'react'; import { Play, Square, Mic, MicOff, Settings2, Activity, Loader2, X, GripHorizontal, LayoutGrid, Zap, AlertCircle } from 'lucide-react'; // --- CONSTANTES --- const SILENT_WAV = "data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"; const TTS_TIMEOUT = 5000; // 5 segundos máximo para la síntesis const DEFAULT_API_KEY = 'AIzaSyBlkvy_Op-XlzSMSDDl9ip42dMFZX28MAA'; // ⚠️ Cámbiala por tu propia clave // --- UTILIDADES --- const base64ToWavBlob = (base64Data, sampleRate = 24000) => { const binaryString = window.atob(base64Data); const pcmData = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) pcmData[i] = binaryString.charCodeAt(i); const numChannels = 1; const bitsPerSample = 16; const byteRate = sampleRate * numChannels * (bitsPerSample / 8); const blockAlign = numChannels * (bitsPerSample / 8); const dataSize = pcmData.length; const buffer = new ArrayBuffer(44 + dataSize); const view = new DataView(buffer); const writeString = (view, offset, string) => { for (let i = 0; i < string.length; i++) view.setUint8(offset + i, string.charCodeAt(i)); }; writeString(view, 0, 'RIFF'); view.setUint32(4, 36 + dataSize, true); writeString(view, 8, 'WAVE'); writeString(view, 12, 'fmt '); view.setUint32(16, 16, true); view.setUint16(20, 1, true); view.setUint16(22, numChannels, true); view.setUint32(24, sampleRate, true); view.setUint32(28, byteRate, true); view.setUint16(32, blockAlign, true); view.setUint16(34, bitsPerSample, true); writeString(view, 36, 'data'); view.setUint32(40, dataSize, true); for (let i = 0; i < dataSize; i++) view.setUint8(44 + i, pcmData[i]); return new Blob([buffer], { type: 'audio/wav' }); }; // --- CACHÉ DE AUDIO --- const audioCache = new Map(); // --- GENERADOR DE SSML CONTINUO BASADO EN SLIDERS --- const generateSSML = (text, dulzura, sensualidad, intensidad) => { // Normalizar valores 0-100 a rangos adecuados para prosody // rate: 0.5 a 2.0 (1.0 es normal) const rate = 0.8 + (intensidad / 100) * 1.2; // 0.8 (lento) a 2.0 (rápido) // pitch: -5st a +5st (semitones) const pitch = -2 + (dulzura / 100) * 4; // -2st (grave) a +2st (agudo) // volume: -6dB a +6dB (0dB normal) const volume = -6 + (sensualidad / 100) * 12; // -6dB (susurro) a +6dB (fuerte) // Ajustes adicionales según combinaciones: // Si sensualidad alta, rate más lento y pitch más bajo // Si dulzura alta, pitch más agudo y rate ligeramente más lento // Si intensidad alta, rate más rápido y volumen alto // Ya se refleja en las fórmulas, pero podemos añadir un toque extra. const ssml = `<speak> <prosody rate="${rate.toFixed(2)}" pitch="${pitch.toFixed(0)}st" volume="${volume.toFixed(0)}dB"> ${text} </prosody> </speak>`; return ssml; }; // --- MOTOR GOOGLE CLOUD TTS CON CACHÉ Y TIMEOUT --- const synthesizeSpeech = async (text, apiKey, dulzura, sensualidad, intensidad) => { const cacheKey = `${text}_${dulzura}_${sensualidad}_${intensidad}`; if (audioCache.has(cacheKey)) { console.log('🎯 Usando audio cacheado'); return audioCache.get(cacheKey); } const ssml = generateSSML(text, dulzura, sensualidad, intensidad); const url = `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`; const body = { input: { ssml }, voice: { languageCode: 'es-ES', name: 'es-ES-Neural2-F', ssmlGender: 'FEMALE' }, audioConfig: { audioEncoding: 'LINEAR16', sampleRateHertz: 24000 } }; const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), TTS_TIMEOUT); try { const res = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body), signal: controller.signal }); clearTimeout(timeoutId); if (!res.ok) throw new Error(`TTS error: ${res.status}`); const data = await res.json(); audioCache.set(cacheKey, data.audioContent); return data.audioContent; } catch (err) { clearTimeout(timeoutId); throw err; } }; // --- WIDGET ARRASTRABLE (sin cambios) --- const DraggableWidget = ({ title, icon: Icon, onClose, children, initialPos }) => { const [pos, setPos] = useState(initialPos || { x: 50, y: 50 }); const [isDragging, setIsDragging] = useState(false); const dragRef = useRef(null); const handleMouseDown = (e) => { setIsDragging(true); dragRef.current = { startX: e.clientX, startY: e.clientY, initialX: pos.x, initialY: pos.y }; }; const handleMouseMove = (e) => { if (!isDragging) return; setPos({ x: Math.max(0, dragRef.current.initialX + (e.clientX - dragRef.current.startX)), y: Math.max(0, dragRef.current.initialY + (e.clientY - dragRef.current.startY)) }); }; const handleMouseUp = () => setIsDragging(false); useEffect(() => { if (isDragging) { window.addEventListener('mousemove', handleMouseMove); window.addEventListener('mouseup', handleMouseUp); } return () => { window.removeEventListener('mousemove', handleMouseMove); window.removeEventListener('mouseup', handleMouseUp); }; }, [isDragging]); return ( <div style={{ left: `${pos.x}px`, top: `${pos.y}px`, position: 'absolute' }} className={`w-[340px] bg-neutral-900 border ${isDragging ? 'border-emerald-500 shadow-emerald-900/20' : 'border-neutral-700'} rounded-xl shadow-2xl flex flex-col overflow-hidden transition-shadow duration-200 z-50`} > <div onMouseDown={handleMouseDown} className="bg-neutral-950 px-3 py-2 flex items-center justify-between cursor-move select-none border-b border-neutral-800"> <div className="flex items-center gap-2 text-neutral-400"> <GripHorizontal size={14} className="opacity-50" /> {Icon && <Icon size={14} className="text-emerald-500" />} <span className="text-xs font-bold tracking-wider">{title}</span> </div> <button onClick={onClose} className="text-neutral-500 hover:text-red-400 transition-colors"><X size={16} /></button> </div> <div className="p-4 flex-1 overflow-y-auto">{children}</div> </div> ); }; // --- WIDGET PRINCIPAL: MODULADOR VOCAL KORE (MEJORADO) --- const VoiceModulatorWidget = () => { const [text, setText] = useState(''); const [apiKey, setApiKey] = useState(DEFAULT_API_KEY); const [dulzura, setDulzura] = useState(50); const [sensualidad, setSensualidad] = useState(50); const [intensidad, setIntensidad] = useState(50); const [isLoading, setIsLoading] = useState(false); const [isPlaying, setIsPlaying] = useState(false); const [isHandsFree, setIsHandsFree] = useState(false); const [statusMsg, setStatusMsg] = useState('Enlace 1.5 Flash + GCP TTS Establecido.'); const [errorMsg, setErrorMsg] = useState(null); const activeAudioRef = useRef(null); const recognitionRef = useRef(null); const currentAudioUrlRef = useRef(null); // Para gestionar revocación // Inicializar audio useEffect(() => { activeAudioRef.current = new Audio(); activeAudioRef.current.preload = "auto"; return () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } } if (recognitionRef.current) recognitionRef.current.stop(); }; }, []); // Configurar reconocimiento de voz useEffect(() => { if (!('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { setErrorMsg('Reconocimiento de voz no soportado.'); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; recognitionRef.current = new SpeechRecognition(); recognitionRef.current.lang = 'es-ES'; recognitionRef.current.interimResults = false; recognitionRef.current.continuous = false; recognitionRef.current.onresult = async (event) => { const transcript = event.results[0][0].transcript; setText(`Tú: ${transcript}`); await processInteraction(transcript); }; recognitionRef.current.onerror = (event) => { if (event.error !== 'no-speech') { setErrorMsg(`Micrófono: ${event.error}`); setIsHandsFree(false); } }; recognitionRef.current.onend = () => { if (isHandsFree && !isPlaying && !isLoading) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; // Limpiar al desmontar return () => { if (recognitionRef.current) recognitionRef.current.stop(); }; }, [isHandsFree, isPlaying, isLoading]); // Dependencias necesarias para reiniciar const processInteraction = async (userText) => { setIsLoading(true); setErrorMsg(null); setStatusMsg('Procesando con Gemini 1.5 Flash...'); const key = apiKey.trim(); try { // 1. Llamada a Gemini con timeout const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), 5000); const payloadText = { contents: [{ parts: [{ text: userText }] }], systemInstruction: { parts: [{ text: `Eres Kore, 28 años, Huesca. Labia, directa, sensual, disruptiva. Responde en español, máx 20 palabras. REGLA INNEGOCIABLE: CERO PREGUNTAS.` }] } }; const resText = await fetch( `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${key}`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payloadText), signal: controller.signal } ); clearTimeout(timeoutId); if (!resText.ok) throw new Error(`Gemini error: ${resText.status}`); const dataText = await resText.json(); const aiText = dataText.candidates?.[0]?.content?.parts?.[0]?.text || "Mmm... vale."; setText(`Kore: ${aiText}`); // 2. Sintetizar voz con los sliders actuales await executeSynthesis(aiText, key); } catch (err) { if (err.name === 'AbortError') { setErrorMsg('Gemini timeout (5s)'); } else { setErrorMsg(err.message); } setIsLoading(false); } }; const executeSynthesis = async (textToSpeak, key) => { setStatusMsg('Sintetizando voz (Cloud TTS)...'); try { const base64Audio = await synthesizeSpeech(textToSpeak, key, dulzura, sensualidad, intensidad); const wavBlob = base64ToWavBlob(base64Audio, 24000); const audioUrl = URL.createObjectURL(wavBlob); // Revocar URL anterior si existe if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } currentAudioUrlRef.current = audioUrl; activeAudioRef.current.src = audioUrl; activeAudioRef.current.onended = () => { setIsPlaying(false); setStatusMsg('Transmisión completada.'); if (isHandsFree) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; setStatusMsg('Transmitiendo...'); setIsPlaying(true); setIsLoading(false); await activeAudioRef.current.play().catch(err => { throw new Error(`Autoplay bloqueado: ${err.message}`); }); } catch (error) { throw new Error(`Fallo TTS: ${error.message}`); } }; const handleManualPlay = async () => { if (!text.trim()) return setErrorMsg('Escribe algo primero.'); // Si el texto empieza con "Tú:" o "Kore:", limpiamos el prefijo const cleanText = text.replace(/^(Tú:|Kore:)\s*/, ''); if (!cleanText.trim()) return setErrorMsg('Texto vacío después de limpiar.'); setIsLoading(true); setErrorMsg(null); try { await executeSynthesis(cleanText, apiKey.trim()); } catch (err) { setErrorMsg(err.message); setIsLoading(false); } }; const toggleHandsFree = () => { if (!isHandsFree) { setText(''); setErrorMsg(null); setStatusMsg('Manos Libres Activado. Habla...'); // Desbloquear audio en algunos navegadores if (activeAudioRef.current) { activeAudioRef.current.src = SILENT_WAV; activeAudioRef.current.play().catch(() => {}); } try { recognitionRef.current.start(); } catch (e) {} } else { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Sistemas en pausa.'); if (recognitionRef.current) recognitionRef.current.stop(); } setIsHandsFree(!isHandsFree); }; const stopAudio = () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Señal interrumpida.'); }; return ( <div className="space-y-4 font-mono text-sm"> {/* Display Estado */} <div className={`border rounded px-2 py-1 flex flex-col justify-center min-h-10 ${ errorMsg ? 'bg-red-950/50 border-red-900' : isHandsFree ? 'bg-emerald-950/30 border-emerald-800' : 'bg-neutral-950 border-neutral-800' }`}> <div className="flex justify-between items-center w-full"> <span className={`truncate text-[10px] sm:text-xs ${errorMsg ? 'text-red-500' : 'text-emerald-500'}`}> > {errorMsg || statusMsg} </span> {isPlaying && !errorMsg && <Activity size={14} className="text-emerald-500 animate-pulse ml-2 flex-shrink-0" />} {isLoading && !errorMsg && <Zap size={14} className="text-amber-500 animate-pulse ml-2 flex-shrink-0" />} {isHandsFree && !isPlaying && !isLoading && !errorMsg && <Mic size={14} className="text-red-500 animate-pulse ml-2 flex-shrink-0" />} </div> </div> {/* Input Texto / Log */} <textarea value={text} onChange={(e) => setText(e.target.value)} className="w-full bg-neutral-950/50 border border-neutral-700 rounded p-2 text-xs text-neutral-300 focus:outline-none focus:border-emerald-500 resize-none h-20" placeholder={isHandsFree ? "Escuchando transcripción en tiempo real..." : "Escribe texto directo o activa Manos Libres..."} readOnly={isHandsFree || isLoading} /> {/* Sliders continuos (controlan SSML en tiempo real) */} <div className="space-y-3 bg-neutral-950/30 p-3 rounded border border-neutral-800"> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Agresiva</span><span className="text-emerald-400">Dulzura [{dulzura}]</span><span>Dulce</span> </div> <input type="range" min="0" max="100" value={dulzura} onChange={(e)=>setDulzura(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-emerald-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Robótica</span><span className="text-pink-400">Aura [{sensualidad}]</span><span>Sensual</span> </div> <input type="range" min="0" max="100" value={sensualidad} onChange={(e)=>setSensualidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-pink-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Atenuada</span><span className="text-amber-400">Intensidad [{intensidad}]</span><span>Fuerte</span> </div> <input type="range" min="0" max="100" value={intensidad} onChange={(e)=>setIntensidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-amber-500 cursor-pointer" /> </div> </div> {/* Botones de Control */} <div className="flex flex-col sm:flex-row gap-2"> <button onClick={toggleHandsFree} disabled={isLoading} className={`flex-1 py-2 rounded text-xs font-bold flex items-center justify-center gap-2 transition-colors border ${ isHandsFree ? 'bg-red-900/20 text-red-400 border-red-900/50 hover:bg-red-900/40 shadow-[0_0_10px_rgba(239,68,68,0.2)]' : 'bg-indigo-900/20 text-indigo-400 border-indigo-900/50 hover:bg-indigo-900/40' }`} > {isHandsFree ? <MicOff size={14} /> : <Mic size={14} />} {isHandsFree ? 'Detener Escucha' : 'Manos Libres'} </button> <div className="flex gap-2 flex-1"> <button onClick={handleManualPlay} disabled={isLoading || isPlaying || isHandsFree} className="flex-1 bg-emerald-600/20 hover:bg-emerald-600/40 text-emerald-400 border border-emerald-600/50 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center gap-1 transition-colors" > {isLoading ? <Loader2 size={14} className="animate-spin" /> : <Play size={14} />} Sintetizar </button> <button onClick={stopAudio} disabled={!isPlaying && !isHandsFree} className="px-4 bg-neutral-800 hover:bg-neutral-700 text-neutral-400 border border-neutral-700 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center transition-colors" > <Square size={14} /> </button> </div> </div> {/* Botón para limpiar caché (opcional) */} <div className="text-right"> <button onClick={() => audioCache.clear()} className="text-[8px] text-neutral-600 hover:text-neutral-400 underline" > limpiar caché de audio </button> </div> </div> ); }; // --- ENTORNO ESCRITORIO (sin cambios) --- export default function App() { const [widgets, setWidgets] = useState({ voice: { isOpen: true, pos: { x: window.innerWidth > 768 ? window.innerWidth / 2 - 170 : 20, y: 40 } } }); const toggleWidget = (id) => { setWidgets(prev => ({ ...prev, [id]: { ...prev[id], isOpen: !prev[id].isOpen } })); }; return ( <div className="w-full h-screen bg-neutral-950 bg-[radial-gradient(ellipse_80%_80%_at_50%_-20%,rgba(16,185,129,0.1),rgba(0,0,0,1))] overflow-hidden relative font-sans text-neutral-200"> <div className="absolute inset-0 flex items-center justify-center opacity-[0.02] pointer-events-none"><Settings2 size={500} /></div> {widgets.voice.isOpen && ( <DraggableWidget title="MODULADOR VOCAL KORE" icon={Zap} initialPos={widgets.voice.pos} onClose={() => toggleWidget('voice')}> <VoiceModulatorWidget /> </DraggableWidget> )} <div className="absolute bottom-6 left-1/2 transform -translate-x-1/2 bg-neutral-900/80 backdrop-blur-md border border-neutral-700/50 p-2 rounded-2xl shadow-2xl flex gap-2 z-[100]"> <div className="px-3 flex items-center border-r border-neutral-700/50 text-neutral-500"><LayoutGrid size={20} /></div> <button onClick={() => toggleWidget('voice')} className={`px-4 py-2 rounded-xl flex items-center gap-2 text-sm font-medium transition-all ${
048
Hero
Deployment & Practical Feasibility (Very Important for Civic Use) ●Target deployment environment (Cloud / On-Premise / Hybrid) ➢ Target Deployment Environment — Hybrid Architecture Component Location Kiosk App Edge device APIs Government cloud Database Secure cloud Notifications Cloud Hybrid Architecture Benefits • Scalability • Reliability • Data security ●Estimated infrastructure requirement ➢ Estimated Infrastructure per Kiosk Hardware Requirements • Mini PC (i5 / Ryzen 5) • 8GB RAM • 256GB SSD • 24” touchscreen • Camera (OCR support) • Microphone + speakers • Thermal printer • 4G router • NFC / QR card reader Approximate Cost ₹50,000 – ₹60,000 per kiosk ●Internet dependency (Low / Medium / High) ➢ Internet Dependency Level: Medium Required for • DigiLocker integration • Payment processing • API communication ●Offline mode support (Yes/No) ➢ Offline Mode Support Availability: YES Offline Features • UI operates locally • Complaints cached locally • Automatic synchronization when internet is restored
07
Hero
## **Your Unified Operating System — Merged & Executable** You now have **three divisions working toward one 10-crore goal**, with automation pumping content to 19 platforms automatically. Here's how to think about it: --- ## **The Three Divisions (What You Run)** | Division | Target | Current Revenue | 12-Month Goal | Effort | |----------|--------|-----------------|---------------|--------| | **A: Academic** | Class 6–O Level students in Dhaka | ₳11 Cr/year | Hold steady (legacy) | Low—operational | | **B: IELTS Pipeline** | Band 6→7.5+ abroad seekers (global) | ₳3 Cr → ₳5 Cr/year | ₳7–8 Cr | **High—growth engine** | | **C: Medical Books** | Doctors (MRCP, MRCS) | ₳2.4 Cr/year | ₳2.5 Cr | Low—passive | **Division B is your lever.** It's where automation lives and where you scale to 10 crore. --- ## **Division B Breakdown: The IELTS Automation Pipeline** ### **The Flow (4 Stages)** 1. **Notion Hub** (You write once) - Create a "Master Content" row: one IELTS insight or tip - Tags: topic, platform group, format - Status: "Ready for API" 2. **Groq API** (Automatic repurposing) - Takes your 1 core idea - Generates 5 platform-ready formats: - LinkedIn post (authority) - TikTok script (viral) - X thread (quotable) - Quora answer (expertise) - WhatsApp broadcast (nurture) 3. **Make.com** (Intelligent routing) - Receives the 5 formats - Routes to the correct 19 platforms - Schedules uploads - Handles API rate limits 4. **19 Platforms** (One-click distribution) - All platforms get content simultaneously - No manual copy-paste - No reformatting - No rescheduling **Time saved:** 50 hours/week → 5 hours/month planning only. --- ### **Where Each Platform Lives (And When)** **MONTH 1 — Primary Launch** (Week 1 setup, Week 2-4 daily posting) | Platform | Purpose | Format | Action | |----------|---------|--------|--------| | **Facebook** | Lead magnets + groups | Posts + lives | Create "2nd Brain IELTS" group; 1 live/week | | **Instagram** | Reels authority | 30-sec tips | Daily reel from Make.com | | **TikTok** | Viral reach | 60-sec videos | Daily auto-post to TikTok | | **YouTube** | Long-form SEO | 15-min tutorials | Upload weekly + Shorts daily | | **LinkedIn** | B2B/professional | Case studies + articles | 3 posts/week (authority angle) | | **Quora** | Answer authority | Detailed answers | 5 answers/day (expertise) | | **WhatsApp** | Nurture existing leads | Voice notes + tips | Broadcast daily to all contacts | | **Telegram** | Community hub | Channel posts + tips | Daily in "2nd Brain IELTS" channel | **MONTH 2 — Secondary Expansion** (Add freelance + tutoring streams) | Platform | Income Model | Setup Cost | Effort/Week | Monthly Potential | |----------|--------------|-----------|-------------|-------------------| | **Upwork** | IELTS gigs (writing, mocks) | 1 hour | 5 hrs | ₳30K–50K | | **Fiverr** | IELTS gigs (speaking, analysis) | 1 hour | 5 hrs | ₳20K–30K | | **Preply** | 1:1 tutoring ($10-15/hr) | 30 min | 10-15 hrs | ₳30K–50K | | **Cambly** | Speaking practice sessions | 30 min | 8-10 hrs | ₳20K–30K | | **Udemy** | Self-paced course (create once) | 20 hours (upfront) | 2 hrs/month | ₳15K–25K/month | **MONTH 3–6 — Tertiary Expansion** (Asian markets + localization) | Platform | Market | Localization | Timeline | |----------|--------|--------------|----------| | **Koo** | India (Hindi/Bengali) | Groq translates to local language | Month 3 | | **Kwai** | Vietnam/broader Asia | Cross-post TikToks | Month 3 | | **Line** | Thailand/Taiwan | Create Official Account | Month 4 | | **Zalo** | Vietnam | Join IELTS groups, share resources | Month 4 | | **WeChat** | China (requires assistant) | Mini-course + mini-program | Month 6 | --- ## **Revenue Architecture: How You Hit 10 Crore** ### **Starting Point (Today)** - IELTS batches (group + one-to-one): ₳3 Cr - Digital products (templates, guides): ₳72 Lakh - **Subtotal:** ₳3.72 Cr ### **Adding with Automation (By Month 12)** | Stream | Launch Month | Build Time | Monthly at Scale | Annual | |--------|--------------|-----------|------------------|--------| | Upwork/Fiverr gigs | Month 2 | 1 hour | ₳50K (50 orders) | ₳60 Lakh | | Preply/Cambly tutoring | Month 2 | 30 min | ₳85K (20 hrs/week) | ₳1 Cr | | Udemy courses | Month 3 | 20 hours | ₳2 Lakh (200 sales) | ₳25 Lakh | | IELTS writing correction service | Month 1 | 10 min | ₳1 Lakh (20 orders) | ₳12 Lakh | | YouTube ad revenue | Month 4 | Organic | ₳50K | ₳60 Lakh | | **New Total** | | | **₳5.9 Cr/year** | | ### **Scaling to 10 Crore (Year 2)** - Hire 2–3 tutors on Preply/Cambly (multiply income 3×) - Launch 3 more Udemy courses (Arabic, German, medical English) - Create franchise model for Indian partners (Koo, Kwai, Zalo) - Automate writing correction (AI pre-checking, you review only) - **→ 10 Crore becomes achievable** --- ## **Weekly Execution Rhythm (Your Calendar)** ### **Monday (30 min)** - [ ] Open Notion "Master Content" database - [ ] Add 3–5 core IELTS ideas (1–2 sentences each) - [ ] Tag by topic (reading, writing, speaking, grammar, vocabulary) - [ ] Mark "Ready for API" - [ ] Batch publish across all 19 platforms via Make.com trigger ### **Tuesday–Wednesday (1 hour total)** - [ ] Check Upwork/Fiverr for new orders - [ ] Deliver first writing corrections (within 24 hrs) - [ ] Schedule Preply/Cambly availability ### **Thursday (15 min)** - [ ] Respond to WhatsApp, Telegram, direct DMs - [ ] Add 2–3 testimonials from latest students to assets folder ### **Friday (30 min)** - [ ] Create 1 live session on Facebook/Zoom (optional, for authority) - [ ] Record behind-the-scenes: "Today's best IELTS tip" - [ ] Share to all platforms ### **Saturday (1 hour)** - [ ] Analyze analytics: - Which content performed best? - Which platforms have highest engagement? - Which freelance gigs converted? - [ ] Update Notion "Analytics" view ### **Sunday (30 min)** - [ ] Plan next week's 3–5 core ideas - [ ] Check gig descriptions on Upwork/Fiverr; optimize if needed - [ ] Review revenue dashboard - [ ] Adjust next week's priorities **Total: ~4 hours/week management** (down from 50 hours of manual posting) --- ## **Notion Template You Need (4 Databases)** ### **1. Master Content DB** | Field | Type | Example | |-------|------|---------| | Topic | Title | "IELTS Reading: Skimming strategy for Band 8" | | Tags | Multi-select | IELTS, Reading, Band 8, Speed | | Platforms | Multi-select | Content, Authority, Direct, Freelance | | Status | Select | Draft, Ready for API, Published | | Generated Content | Relation | [Link to output] | | Webhook | URL | [Make.com trigger] | ### **2. Platform Tracker DB** | Field | Type | Example | |-------|------|---------| | Platform | Select | Upwork, Preply, Facebook, etc. | | Account Status | Select | Active, Pending, Paused | | Follower/Subscriber Count | Number | 5,420 | | Monthly Revenue (Target) | Currency | ₳25,000 | | Weekly Action Items | Text | Post 1 video, respond to 5 messages, deliver 2 gigs | ### **3. Freelance Pipeline DB** | Field | Type | Example | |-------|------|---------| | Client | Text | John Doe | | Platform | Select | Upwork, Fiverr, Direct | | Service | Select | Writing correction, Mock test, 1:1 call | | Status | Select | Inquiry, Negotiating, In Progress, Delivered, Paid | | Amount (BDT) | Currency | ₳5,000 | | Deadline | Date | 2026-04-20 | | Notes | Text | 5 essays, standard turnaround | ### **4. Revenue Dashboard (Summary)** - **Total IELTS revenue (month):** Formula sum of all Freelance Pipeline paid items - **Platform breakdown:** Card widgets for Upwork, Fiverr, Preply, IELTS batches - **Trending:** Which platforms driving most revenue? - **Next month target:** ₳X --- ## **Immediate Next Steps (This Week)** **By End of Day:** - [ ] Copy the **Notion template bundle** I'll export (4 DBs ready to use) - [ ] Create Upwork and Fiverr accounts with "2nd Brain Education" profile - [ ] Write your first Upwork gig: "IELTS Writing Task 1 & 2 – Band 7+ Correction & Feedback" **By End of Week:** - [ ] Apply to Preply, Cambly, Udemy (5 minutes each) - [ ] Reserve usernames on Koo, Kwai, Line, Zalo - [ ] Set up Make.com account (free tier) - [ ] Schedule **one test automation**: Notion → Groq → TikTok/Instagram **By End of Month 1:** - [ ] All 19 platforms active with first posts live - [ ] First 5 gigs on Upwork/Fiverr (don't wait for perfection—launch) - [ ] Preply/Cambly: 5 scheduled sessions - [ ] 50+ hours saved vs manual posting --- ## **Why This Works (For You Specifically)** ✅ **Zero cost** — Notion free, Groq $0 (for startup), Make free tier ✅ **Solo** — No hiring needed first 3 months ✅ **Automation-first** — You hate busy work; this eliminates it ✅ **Proven niche** — IELTS is post-January 2026 uncontested ✅ **Six revenue streams** — Not dependent on one platform ✅ **Scales with systems** — At month 6 you can hire tutors; automation handles content --- **You have the map. You have the timeline. You have the revenue model.** The only missing piece is **execution starting Monday, March 9, 2026.** Would you like me to export the Notion template bundle, or start with the Make.com workflow setup first?
023
Grok Imagine Video
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨
099
FLUX
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib. See less Recent
069
Grok Imagine Video
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
015
Hero
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib.
011
## **Your Unified Operating System — Merged & Executable** You now have **three divisions working toward one 10-crore goal**, with automation pumping content to 19 platforms automatically. Here's how to think about it: --- ## **The Three Divisions (What You Run)** | Division | Target | Current Revenue | 12-Month Goal | Effort | |----------|--------|-----------------|---------------|--------| | **A: Academic** | Class 6–O Level students in Dhaka | ₳11 Cr/year | Hold steady (legacy) | Low—operational | | **B: IELTS Pipeline** | Band 6→7.5+ abroad seekers (global) | ₳3 Cr → ₳5 Cr/year | ₳7–8 Cr | **High—growth engine** | | **C: Medical Books** | Doctors (MRCP, MRCS) | ₳2.4 Cr/year | ₳2.5 Cr | Low—passive | **Division B is your lever.** It's where automation lives and where you scale to 10 crore. --- ## **Division B Breakdown: The IELTS Automation Pipeline** ### **The Flow (4 Stages)** 1. **Notion Hub** (You write once) - Create a "Master Content" row: one IELTS insight or tip - Tags: topic, platform group, format - Status: "Ready for API" 2. **Groq API** (Automatic repurposing) - Takes your 1 core idea - Generates 5 platform-ready formats: - LinkedIn post (authority) - TikTok script (viral) - X thread (quotable) - Quora answer (expertise) - WhatsApp broadcast (nurture) 3. **Make.com** (Intelligent routing) - Receives the 5 formats - Routes to the correct 19 platforms - Schedules uploads - Handles API rate limits 4. **19 Platforms** (One-click distribution) - All platforms get content simultaneously - No manual copy-paste - No reformatting - No rescheduling **Time saved:** 50 hours/week → 5 hours/month planning only. --- ### **Where Each Platform Lives (And When)** **MONTH 1 — Primary Launch** (Week 1 setup, Week 2-4 daily posting) | Platform | Purpose | Format | Action | |----------|---------|--------|--------| | **Facebook** | Lead magnets + groups | Posts + lives | Create "2nd Brain IELTS" group; 1 live/week | | **Instagram** | Reels authority | 30-sec tips | Daily reel from Make.com | | **TikTok** | Viral reach | 60-sec videos | Daily auto-post to TikTok | | **YouTube** | Long-form SEO | 15-min tutorials | Upload weekly + Shorts daily | | **LinkedIn** | B2B/professional | Case studies + articles | 3 posts/week (authority angle) | | **Quora** | Answer authority | Detailed answers | 5 answers/day (expertise) | | **WhatsApp** | Nurture existing leads | Voice notes + tips | Broadcast daily to all contacts | | **Telegram** | Community hub | Channel posts + tips | Daily in "2nd Brain IELTS" channel | **MONTH 2 — Secondary Expansion** (Add freelance + tutoring streams) | Platform | Income Model | Setup Cost | Effort/Week | Monthly Potential | |----------|--------------|-----------|-------------|-------------------| | **Upwork** | IELTS gigs (writing, mocks) | 1 hour | 5 hrs | ₳30K–50K | | **Fiverr** | IELTS gigs (speaking, analysis) | 1 hour | 5 hrs | ₳20K–30K | | **Preply** | 1:1 tutoring ($10-15/hr) | 30 min | 10-15 hrs | ₳30K–50K | | **Cambly** | Speaking practice sessions | 30 min | 8-10 hrs | ₳20K–30K | | **Udemy** | Self-paced course (create once) | 20 hours (upfront) | 2 hrs/month | ₳15K–25K/month | **MONTH 3–6 — Tertiary Expansion** (Asian markets + localization) | Platform | Market | Localization | Timeline | |----------|--------|--------------|----------| | **Koo** | India (Hindi/Bengali) | Groq translates to local language | Month 3 | | **Kwai** | Vietnam/broader Asia | Cross-post TikToks | Month 3 | | **Line** | Thailand/Taiwan | Create Official Account | Month 4 | | **Zalo** | Vietnam | Join IELTS groups, share resources | Month 4 | | **WeChat** | China (requires assistant) | Mini-course + mini-program | Month 6 | --- ## **Revenue Architecture: How You Hit 10 Crore** ### **Starting Point (Today)** - IELTS batches (group + one-to-one): ₳3 Cr - Digital products (templates, guides): ₳72 Lakh - **Subtotal:** ₳3.72 Cr ### **Adding with Automation (By Month 12)** | Stream | Launch Month | Build Time | Monthly at Scale | Annual | |--------|--------------|-----------|------------------|--------| | Upwork/Fiverr gigs | Month 2 | 1 hour | ₳50K (50 orders) | ₳60 Lakh | | Preply/Cambly tutoring | Month 2 | 30 min | ₳85K (20 hrs/week) | ₳1 Cr | | Udemy courses | Month 3 | 20 hours | ₳2 Lakh (200 sales) | ₳25 Lakh | | IELTS writing correction service | Month 1 | 10 min | ₳1 Lakh (20 orders) | ₳12 Lakh | | YouTube ad revenue | Month 4 | Organic | ₳50K | ₳60 Lakh | | **New Total** | | | **₳5.9 Cr/year** | | ### **Scaling to 10 Crore (Year 2)** - Hire 2–3 tutors on Preply/Cambly (multiply income 3×) - Launch 3 more Udemy courses (Arabic, German, medical English) - Create franchise model for Indian partners (Koo, Kwai, Zalo) - Automate writing correction (AI pre-checking, you review only) - **→ 10 Crore becomes achievable** --- ## **Weekly Execution Rhythm (Your Calendar)** ### **Monday (30 min)** - [ ] Open Notion "Master Content" database - [ ] Add 3–5 core IELTS ideas (1–2 sentences each) - [ ] Tag by topic (reading, writing, speaking, grammar, vocabulary) - [ ] Mark "Ready for API" - [ ] Batch publish across all 19 platforms via Make.com trigger ### **Tuesday–Wednesday (1 hour total)** - [ ] Check Upwork/Fiverr for new orders - [ ] Deliver first writing corrections (within 24 hrs) - [ ] Schedule Preply/Cambly availability ### **Thursday (15 min)** - [ ] Respond to WhatsApp, Telegram, direct DMs - [ ] Add 2–3 testimonials from latest students to assets folder ### **Friday (30 min)** - [ ] Create 1 live session on Facebook/Zoom (optional, for authority) - [ ] Record behind-the-scenes: "Today's best IELTS tip" - [ ] Share to all platforms ### **Saturday (1 hour)** - [ ] Analyze analytics: - Which content performed best? - Which platforms have highest engagement? - Which freelance gigs converted? - [ ] Update Notion "Analytics" view ### **Sunday (30 min)** - [ ] Plan next week's 3–5 core ideas - [ ] Check gig descriptions on Upwork/Fiverr; optimize if needed - [ ] Review revenue dashboard - [ ] Adjust next week's priorities **Total: ~4 hours/week management** (down from 50 hours of manual posting) --- ## **Notion Template You Need (4 Databases)** ### **1. Master Content DB** | Field | Type | Example | |-------|------|---------| | Topic | Title | "IELTS Reading: Skimming strategy for Band 8" | | Tags | Multi-select | IELTS, Reading, Band 8, Speed | | Platforms | Multi-select | Content, Authority, Direct, Freelance | | Status | Select | Draft, Ready for API, Published | | Generated Content | Relation | [Link to output] | | Webhook | URL | [Make.com trigger] | ### **2. Platform Tracker DB** | Field | Type | Example | |-------|------|---------| | Platform | Select | Upwork, Preply, Facebook, etc. | | Account Status | Select | Active, Pending, Paused | | Follower/Subscriber Count | Number | 5,420 | | Monthly Revenue (Target) | Currency | ₳25,000 | | Weekly Action Items | Text | Post 1 video, respond to 5 messages, deliver 2 gigs | ### **3. Freelance Pipeline DB** | Field | Type | Example | |-------|------|---------| | Client | Text | John Doe | | Platform | Select | Upwork, Fiverr, Direct | | Service | Select | Writing correction, Mock test, 1:1 call | | Status | Select | Inquiry, Negotiating, In Progress, Delivered, Paid | | Amount (BDT) | Currency | ₳5,000 | | Deadline | Date | 2026-04-20 | | Notes | Text | 5 essays, standard turnaround | ### **4. Revenue Dashboard (Summary)** - **Total IELTS revenue (month):** Formula sum of all Freelance Pipeline paid items - **Platform breakdown:** Card widgets for Upwork, Fiverr, Preply, IELTS batches - **Trending:** Which platforms driving most revenue? - **Next month target:** ₳X --- ## **Immediate Next Steps (This Week)** **By End of Day:** - [ ] Copy the **Notion template bundle** I'll export (4 DBs ready to use) - [ ] Create Upwork and Fiverr accounts with "2nd Brain Education" profile - [ ] Write your first Upwork gig: "IELTS Writing Task 1 & 2 – Band 7+ Correction & Feedback" **By End of Week:** - [ ] Apply to Preply, Cambly, Udemy (5 minutes each) - [ ] Reserve usernames on Koo, Kwai, Line, Zalo - [ ] Set up Make.com account (free tier) - [ ] Schedule **one test automation**: Notion → Groq → TikTok/Instagram **By End of Month 1:** - [ ] All 19 platforms active with first posts live - [ ] First 5 gigs on Upwork/Fiverr (don't wait for perfection—launch) - [ ] Preply/Cambly: 5 scheduled sessions - [ ] 50+ hours saved vs manual posting --- ## **Why This Works (For You Specifically)** ✅ **Zero cost** — Notion free, Groq $0 (for startup), Make free tier ✅ **Solo** — No hiring needed first 3 months ✅ **Automation-first** — You hate busy work; this eliminates it ✅ **Proven niche** — IELTS is post-January 2026 uncontested ✅ **Six revenue streams** — Not dependent on one platform ✅ **Scales with systems** — At month 6 you can hire tutors; automation handles content --- **You have the map. You have the timeline. You have the revenue model.** The only missing piece is **execution starting Monday, March 9, 2026.** Would you like me to export the Notion template bundle, or start with the Make.com workflow setup first?
023
Grok Imagine Video
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
015
Hero
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨
099
FLUX
He optimizado tu código para lograr una modulación vocal continua y fluida basada en los sliders, con caché de audio, timeouts y mejor manejo del estado. Ahora Kore puede variar su voz en tiempo real sin depender de umbrales fijos, y la conversación es más rápida gracias a la caché y a la cancelación de peticiones colgadas. ```javascript import React, { useState, useRef, useEffect, useCallback } from 'react'; import { Play, Square, Mic, MicOff, Settings2, Activity, Loader2, X, GripHorizontal, LayoutGrid, Zap, AlertCircle } from 'lucide-react'; // --- CONSTANTES --- const SILENT_WAV = "data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"; const TTS_TIMEOUT = 5000; // 5 segundos máximo para la síntesis const DEFAULT_API_KEY = 'AIzaSyBlkvy_Op-XlzSMSDDl9ip42dMFZX28MAA'; // ⚠️ Cámbiala por tu propia clave // --- UTILIDADES --- const base64ToWavBlob = (base64Data, sampleRate = 24000) => { const binaryString = window.atob(base64Data); const pcmData = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) pcmData[i] = binaryString.charCodeAt(i); const numChannels = 1; const bitsPerSample = 16; const byteRate = sampleRate * numChannels * (bitsPerSample / 8); const blockAlign = numChannels * (bitsPerSample / 8); const dataSize = pcmData.length; const buffer = new ArrayBuffer(44 + dataSize); const view = new DataView(buffer); const writeString = (view, offset, string) => { for (let i = 0; i < string.length; i++) view.setUint8(offset + i, string.charCodeAt(i)); }; writeString(view, 0, 'RIFF'); view.setUint32(4, 36 + dataSize, true); writeString(view, 8, 'WAVE'); writeString(view, 12, 'fmt '); view.setUint32(16, 16, true); view.setUint16(20, 1, true); view.setUint16(22, numChannels, true); view.setUint32(24, sampleRate, true); view.setUint32(28, byteRate, true); view.setUint16(32, blockAlign, true); view.setUint16(34, bitsPerSample, true); writeString(view, 36, 'data'); view.setUint32(40, dataSize, true); for (let i = 0; i < dataSize; i++) view.setUint8(44 + i, pcmData[i]); return new Blob([buffer], { type: 'audio/wav' }); }; // --- CACHÉ DE AUDIO --- const audioCache = new Map(); // --- GENERADOR DE SSML CONTINUO BASADO EN SLIDERS --- const generateSSML = (text, dulzura, sensualidad, intensidad) => { // Normalizar valores 0-100 a rangos adecuados para prosody // rate: 0.5 a 2.0 (1.0 es normal) const rate = 0.8 + (intensidad / 100) * 1.2; // 0.8 (lento) a 2.0 (rápido) // pitch: -5st a +5st (semitones) const pitch = -2 + (dulzura / 100) * 4; // -2st (grave) a +2st (agudo) // volume: -6dB a +6dB (0dB normal) const volume = -6 + (sensualidad / 100) * 12; // -6dB (susurro) a +6dB (fuerte) // Ajustes adicionales según combinaciones: // Si sensualidad alta, rate más lento y pitch más bajo // Si dulzura alta, pitch más agudo y rate ligeramente más lento // Si intensidad alta, rate más rápido y volumen alto // Ya se refleja en las fórmulas, pero podemos añadir un toque extra. const ssml = `<speak> <prosody rate="${rate.toFixed(2)}" pitch="${pitch.toFixed(0)}st" volume="${volume.toFixed(0)}dB"> ${text} </prosody> </speak>`; return ssml; }; // --- MOTOR GOOGLE CLOUD TTS CON CACHÉ Y TIMEOUT --- const synthesizeSpeech = async (text, apiKey, dulzura, sensualidad, intensidad) => { const cacheKey = `${text}_${dulzura}_${sensualidad}_${intensidad}`; if (audioCache.has(cacheKey)) { console.log('🎯 Usando audio cacheado'); return audioCache.get(cacheKey); } const ssml = generateSSML(text, dulzura, sensualidad, intensidad); const url = `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`; const body = { input: { ssml }, voice: { languageCode: 'es-ES', name: 'es-ES-Neural2-F', ssmlGender: 'FEMALE' }, audioConfig: { audioEncoding: 'LINEAR16', sampleRateHertz: 24000 } }; const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), TTS_TIMEOUT); try { const res = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body), signal: controller.signal }); clearTimeout(timeoutId); if (!res.ok) throw new Error(`TTS error: ${res.status}`); const data = await res.json(); audioCache.set(cacheKey, data.audioContent); return data.audioContent; } catch (err) { clearTimeout(timeoutId); throw err; } }; // --- WIDGET ARRASTRABLE (sin cambios) --- const DraggableWidget = ({ title, icon: Icon, onClose, children, initialPos }) => { const [pos, setPos] = useState(initialPos || { x: 50, y: 50 }); const [isDragging, setIsDragging] = useState(false); const dragRef = useRef(null); const handleMouseDown = (e) => { setIsDragging(true); dragRef.current = { startX: e.clientX, startY: e.clientY, initialX: pos.x, initialY: pos.y }; }; const handleMouseMove = (e) => { if (!isDragging) return; setPos({ x: Math.max(0, dragRef.current.initialX + (e.clientX - dragRef.current.startX)), y: Math.max(0, dragRef.current.initialY + (e.clientY - dragRef.current.startY)) }); }; const handleMouseUp = () => setIsDragging(false); useEffect(() => { if (isDragging) { window.addEventListener('mousemove', handleMouseMove); window.addEventListener('mouseup', handleMouseUp); } return () => { window.removeEventListener('mousemove', handleMouseMove); window.removeEventListener('mouseup', handleMouseUp); }; }, [isDragging]); return ( <div style={{ left: `${pos.x}px`, top: `${pos.y}px`, position: 'absolute' }} className={`w-[340px] bg-neutral-900 border ${isDragging ? 'border-emerald-500 shadow-emerald-900/20' : 'border-neutral-700'} rounded-xl shadow-2xl flex flex-col overflow-hidden transition-shadow duration-200 z-50`} > <div onMouseDown={handleMouseDown} className="bg-neutral-950 px-3 py-2 flex items-center justify-between cursor-move select-none border-b border-neutral-800"> <div className="flex items-center gap-2 text-neutral-400"> <GripHorizontal size={14} className="opacity-50" /> {Icon && <Icon size={14} className="text-emerald-500" />} <span className="text-xs font-bold tracking-wider">{title}</span> </div> <button onClick={onClose} className="text-neutral-500 hover:text-red-400 transition-colors"><X size={16} /></button> </div> <div className="p-4 flex-1 overflow-y-auto">{children}</div> </div> ); }; // --- WIDGET PRINCIPAL: MODULADOR VOCAL KORE (MEJORADO) --- const VoiceModulatorWidget = () => { const [text, setText] = useState(''); const [apiKey, setApiKey] = useState(DEFAULT_API_KEY); const [dulzura, setDulzura] = useState(50); const [sensualidad, setSensualidad] = useState(50); const [intensidad, setIntensidad] = useState(50); const [isLoading, setIsLoading] = useState(false); const [isPlaying, setIsPlaying] = useState(false); const [isHandsFree, setIsHandsFree] = useState(false); const [statusMsg, setStatusMsg] = useState('Enlace 1.5 Flash + GCP TTS Establecido.'); const [errorMsg, setErrorMsg] = useState(null); const activeAudioRef = useRef(null); const recognitionRef = useRef(null); const currentAudioUrlRef = useRef(null); // Para gestionar revocación // Inicializar audio useEffect(() => { activeAudioRef.current = new Audio(); activeAudioRef.current.preload = "auto"; return () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } } if (recognitionRef.current) recognitionRef.current.stop(); }; }, []); // Configurar reconocimiento de voz useEffect(() => { if (!('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { setErrorMsg('Reconocimiento de voz no soportado.'); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; recognitionRef.current = new SpeechRecognition(); recognitionRef.current.lang = 'es-ES'; recognitionRef.current.interimResults = false; recognitionRef.current.continuous = false; recognitionRef.current.onresult = async (event) => { const transcript = event.results[0][0].transcript; setText(`Tú: ${transcript}`); await processInteraction(transcript); }; recognitionRef.current.onerror = (event) => { if (event.error !== 'no-speech') { setErrorMsg(`Micrófono: ${event.error}`); setIsHandsFree(false); } }; recognitionRef.current.onend = () => { if (isHandsFree && !isPlaying && !isLoading) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; // Limpiar al desmontar return () => { if (recognitionRef.current) recognitionRef.current.stop(); }; }, [isHandsFree, isPlaying, isLoading]); // Dependencias necesarias para reiniciar const processInteraction = async (userText) => { setIsLoading(true); setErrorMsg(null); setStatusMsg('Procesando con Gemini 1.5 Flash...'); const key = apiKey.trim(); try { // 1. Llamada a Gemini con timeout const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), 5000); const payloadText = { contents: [{ parts: [{ text: userText }] }], systemInstruction: { parts: [{ text: `Eres Kore, 28 años, Huesca. Labia, directa, sensual, disruptiva. Responde en español, máx 20 palabras. REGLA INNEGOCIABLE: CERO PREGUNTAS.` }] } }; const resText = await fetch( `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${key}`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payloadText), signal: controller.signal } ); clearTimeout(timeoutId); if (!resText.ok) throw new Error(`Gemini error: ${resText.status}`); const dataText = await resText.json(); const aiText = dataText.candidates?.[0]?.content?.parts?.[0]?.text || "Mmm... vale."; setText(`Kore: ${aiText}`); // 2. Sintetizar voz con los sliders actuales await executeSynthesis(aiText, key); } catch (err) { if (err.name === 'AbortError') { setErrorMsg('Gemini timeout (5s)'); } else { setErrorMsg(err.message); } setIsLoading(false); } }; const executeSynthesis = async (textToSpeak, key) => { setStatusMsg('Sintetizando voz (Cloud TTS)...'); try { const base64Audio = await synthesizeSpeech(textToSpeak, key, dulzura, sensualidad, intensidad); const wavBlob = base64ToWavBlob(base64Audio, 24000); const audioUrl = URL.createObjectURL(wavBlob); // Revocar URL anterior si existe if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } currentAudioUrlRef.current = audioUrl; activeAudioRef.current.src = audioUrl; activeAudioRef.current.onended = () => { setIsPlaying(false); setStatusMsg('Transmisión completada.'); if (isHandsFree) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; setStatusMsg('Transmitiendo...'); setIsPlaying(true); setIsLoading(false); await activeAudioRef.current.play().catch(err => { throw new Error(`Autoplay bloqueado: ${err.message}`); }); } catch (error) { throw new Error(`Fallo TTS: ${error.message}`); } }; const handleManualPlay = async () => { if (!text.trim()) return setErrorMsg('Escribe algo primero.'); // Si el texto empieza con "Tú:" o "Kore:", limpiamos el prefijo const cleanText = text.replace(/^(Tú:|Kore:)\s*/, ''); if (!cleanText.trim()) return setErrorMsg('Texto vacío después de limpiar.'); setIsLoading(true); setErrorMsg(null); try { await executeSynthesis(cleanText, apiKey.trim()); } catch (err) { setErrorMsg(err.message); setIsLoading(false); } }; const toggleHandsFree = () => { if (!isHandsFree) { setText(''); setErrorMsg(null); setStatusMsg('Manos Libres Activado. Habla...'); // Desbloquear audio en algunos navegadores if (activeAudioRef.current) { activeAudioRef.current.src = SILENT_WAV; activeAudioRef.current.play().catch(() => {}); } try { recognitionRef.current.start(); } catch (e) {} } else { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Sistemas en pausa.'); if (recognitionRef.current) recognitionRef.current.stop(); } setIsHandsFree(!isHandsFree); }; const stopAudio = () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Señal interrumpida.'); }; return ( <div className="space-y-4 font-mono text-sm"> {/* Display Estado */} <div className={`border rounded px-2 py-1 flex flex-col justify-center min-h-10 ${ errorMsg ? 'bg-red-950/50 border-red-900' : isHandsFree ? 'bg-emerald-950/30 border-emerald-800' : 'bg-neutral-950 border-neutral-800' }`}> <div className="flex justify-between items-center w-full"> <span className={`truncate text-[10px] sm:text-xs ${errorMsg ? 'text-red-500' : 'text-emerald-500'}`}> > {errorMsg || statusMsg} </span> {isPlaying && !errorMsg && <Activity size={14} className="text-emerald-500 animate-pulse ml-2 flex-shrink-0" />} {isLoading && !errorMsg && <Zap size={14} className="text-amber-500 animate-pulse ml-2 flex-shrink-0" />} {isHandsFree && !isPlaying && !isLoading && !errorMsg && <Mic size={14} className="text-red-500 animate-pulse ml-2 flex-shrink-0" />} </div> </div> {/* Input Texto / Log */} <textarea value={text} onChange={(e) => setText(e.target.value)} className="w-full bg-neutral-950/50 border border-neutral-700 rounded p-2 text-xs text-neutral-300 focus:outline-none focus:border-emerald-500 resize-none h-20" placeholder={isHandsFree ? "Escuchando transcripción en tiempo real..." : "Escribe texto directo o activa Manos Libres..."} readOnly={isHandsFree || isLoading} /> {/* Sliders continuos (controlan SSML en tiempo real) */} <div className="space-y-3 bg-neutral-950/30 p-3 rounded border border-neutral-800"> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Agresiva</span><span className="text-emerald-400">Dulzura [{dulzura}]</span><span>Dulce</span> </div> <input type="range" min="0" max="100" value={dulzura} onChange={(e)=>setDulzura(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-emerald-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Robótica</span><span className="text-pink-400">Aura [{sensualidad}]</span><span>Sensual</span> </div> <input type="range" min="0" max="100" value={sensualidad} onChange={(e)=>setSensualidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-pink-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Atenuada</span><span className="text-amber-400">Intensidad [{intensidad}]</span><span>Fuerte</span> </div> <input type="range" min="0" max="100" value={intensidad} onChange={(e)=>setIntensidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-amber-500 cursor-pointer" /> </div> </div> {/* Botones de Control */} <div className="flex flex-col sm:flex-row gap-2"> <button onClick={toggleHandsFree} disabled={isLoading} className={`flex-1 py-2 rounded text-xs font-bold flex items-center justify-center gap-2 transition-colors border ${ isHandsFree ? 'bg-red-900/20 text-red-400 border-red-900/50 hover:bg-red-900/40 shadow-[0_0_10px_rgba(239,68,68,0.2)]' : 'bg-indigo-900/20 text-indigo-400 border-indigo-900/50 hover:bg-indigo-900/40' }`} > {isHandsFree ? <MicOff size={14} /> : <Mic size={14} />} {isHandsFree ? 'Detener Escucha' : 'Manos Libres'} </button> <div className="flex gap-2 flex-1"> <button onClick={handleManualPlay} disabled={isLoading || isPlaying || isHandsFree} className="flex-1 bg-emerald-600/20 hover:bg-emerald-600/40 text-emerald-400 border border-emerald-600/50 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center gap-1 transition-colors" > {isLoading ? <Loader2 size={14} className="animate-spin" /> : <Play size={14} />} Sintetizar </button> <button onClick={stopAudio} disabled={!isPlaying && !isHandsFree} className="px-4 bg-neutral-800 hover:bg-neutral-700 text-neutral-400 border border-neutral-700 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center transition-colors" > <Square size={14} /> </button> </div> </div> {/* Botón para limpiar caché (opcional) */} <div className="text-right"> <button onClick={() => audioCache.clear()} className="text-[8px] text-neutral-600 hover:text-neutral-400 underline" > limpiar caché de audio </button> </div> </div> ); }; // --- ENTORNO ESCRITORIO (sin cambios) --- export default function App() { const [widgets, setWidgets] = useState({ voice: { isOpen: true, pos: { x: window.innerWidth > 768 ? window.innerWidth / 2 - 170 : 20, y: 40 } } }); const toggleWidget = (id) => { setWidgets(prev => ({ ...prev, [id]: { ...prev[id], isOpen: !prev[id].isOpen } })); }; return ( <div className="w-full h-screen bg-neutral-950 bg-[radial-gradient(ellipse_80%_80%_at_50%_-20%,rgba(16,185,129,0.1),rgba(0,0,0,1))] overflow-hidden relative font-sans text-neutral-200"> <div className="absolute inset-0 flex items-center justify-center opacity-[0.02] pointer-events-none"><Settings2 size={500} /></div> {widgets.voice.isOpen && ( <DraggableWidget title="MODULADOR VOCAL KORE" icon={Zap} initialPos={widgets.voice.pos} onClose={() => toggleWidget('voice')}> <VoiceModulatorWidget /> </DraggableWidget> )} <div className="absolute bottom-6 left-1/2 transform -translate-x-1/2 bg-neutral-900/80 backdrop-blur-md border border-neutral-700/50 p-2 rounded-2xl shadow-2xl flex gap-2 z-[100]"> <div className="px-3 flex items-center border-r border-neutral-700/50 text-neutral-500"><LayoutGrid size={20} /></div> <button onClick={() => toggleWidget('voice')} className={`px-4 py-2 rounded-xl flex items-center gap-2 text-sm font-medium transition-all ${
048
Hero
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib.
011
Deployment & Practical Feasibility (Very Important for Civic Use) ●Target deployment environment (Cloud / On-Premise / Hybrid) ➢ Target Deployment Environment — Hybrid Architecture Component Location Kiosk App Edge device APIs Government cloud Database Secure cloud Notifications Cloud Hybrid Architecture Benefits • Scalability • Reliability • Data security ●Estimated infrastructure requirement ➢ Estimated Infrastructure per Kiosk Hardware Requirements • Mini PC (i5 / Ryzen 5) • 8GB RAM • 256GB SSD • 24” touchscreen • Camera (OCR support) • Microphone + speakers • Thermal printer • 4G router • NFC / QR card reader Approximate Cost ₹50,000 – ₹60,000 per kiosk ●Internet dependency (Low / Medium / High) ➢ Internet Dependency Level: Medium Required for • DigiLocker integration • Payment processing • API communication ●Offline mode support (Yes/No) ➢ Offline Mode Support Availability: YES Offline Features • UI operates locally • Complaints cached locally • Automatic synchronization when internet is restored
07
Hero
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨 with 4k resolution
183
FLUX
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib. See less Recent
069
Grok Imagine Video
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
015
Hero
Deployment & Practical Feasibility (Very Important for Civic Use) ●Target deployment environment (Cloud / On-Premise / Hybrid) ➢ Target Deployment Environment — Hybrid Architecture Component Location Kiosk App Edge device APIs Government cloud Database Secure cloud Notifications Cloud Hybrid Architecture Benefits • Scalability • Reliability • Data security ●Estimated infrastructure requirement ➢ Estimated Infrastructure per Kiosk Hardware Requirements • Mini PC (i5 / Ryzen 5) • 8GB RAM • 256GB SSD • 24” touchscreen • Camera (OCR support) • Microphone + speakers • Thermal printer • 4G router • NFC / QR card reader Approximate Cost ₹50,000 – ₹60,000 per kiosk ●Internet dependency (Low / Medium / High) ➢ Internet Dependency Level: Medium Required for • DigiLocker integration • Payment processing • API communication ●Offline mode support (Yes/No) ➢ Offline Mode Support Availability: YES Offline Features • UI operates locally • Complaints cached locally • Automatic synchronization when internet is restored
07
Hero
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib. See less Recent
069
Grok Imagine Video
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib.
011
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨 with 4k resolution
183
FLUX
## **Your Unified Operating System — Merged & Executable** You now have **three divisions working toward one 10-crore goal**, with automation pumping content to 19 platforms automatically. Here's how to think about it: --- ## **The Three Divisions (What You Run)** | Division | Target | Current Revenue | 12-Month Goal | Effort | |----------|--------|-----------------|---------------|--------| | **A: Academic** | Class 6–O Level students in Dhaka | ₳11 Cr/year | Hold steady (legacy) | Low—operational | | **B: IELTS Pipeline** | Band 6→7.5+ abroad seekers (global) | ₳3 Cr → ₳5 Cr/year | ₳7–8 Cr | **High—growth engine** | | **C: Medical Books** | Doctors (MRCP, MRCS) | ₳2.4 Cr/year | ₳2.5 Cr | Low—passive | **Division B is your lever.** It's where automation lives and where you scale to 10 crore. --- ## **Division B Breakdown: The IELTS Automation Pipeline** ### **The Flow (4 Stages)** 1. **Notion Hub** (You write once) - Create a "Master Content" row: one IELTS insight or tip - Tags: topic, platform group, format - Status: "Ready for API" 2. **Groq API** (Automatic repurposing) - Takes your 1 core idea - Generates 5 platform-ready formats: - LinkedIn post (authority) - TikTok script (viral) - X thread (quotable) - Quora answer (expertise) - WhatsApp broadcast (nurture) 3. **Make.com** (Intelligent routing) - Receives the 5 formats - Routes to the correct 19 platforms - Schedules uploads - Handles API rate limits 4. **19 Platforms** (One-click distribution) - All platforms get content simultaneously - No manual copy-paste - No reformatting - No rescheduling **Time saved:** 50 hours/week → 5 hours/month planning only. --- ### **Where Each Platform Lives (And When)** **MONTH 1 — Primary Launch** (Week 1 setup, Week 2-4 daily posting) | Platform | Purpose | Format | Action | |----------|---------|--------|--------| | **Facebook** | Lead magnets + groups | Posts + lives | Create "2nd Brain IELTS" group; 1 live/week | | **Instagram** | Reels authority | 30-sec tips | Daily reel from Make.com | | **TikTok** | Viral reach | 60-sec videos | Daily auto-post to TikTok | | **YouTube** | Long-form SEO | 15-min tutorials | Upload weekly + Shorts daily | | **LinkedIn** | B2B/professional | Case studies + articles | 3 posts/week (authority angle) | | **Quora** | Answer authority | Detailed answers | 5 answers/day (expertise) | | **WhatsApp** | Nurture existing leads | Voice notes + tips | Broadcast daily to all contacts | | **Telegram** | Community hub | Channel posts + tips | Daily in "2nd Brain IELTS" channel | **MONTH 2 — Secondary Expansion** (Add freelance + tutoring streams) | Platform | Income Model | Setup Cost | Effort/Week | Monthly Potential | |----------|--------------|-----------|-------------|-------------------| | **Upwork** | IELTS gigs (writing, mocks) | 1 hour | 5 hrs | ₳30K–50K | | **Fiverr** | IELTS gigs (speaking, analysis) | 1 hour | 5 hrs | ₳20K–30K | | **Preply** | 1:1 tutoring ($10-15/hr) | 30 min | 10-15 hrs | ₳30K–50K | | **Cambly** | Speaking practice sessions | 30 min | 8-10 hrs | ₳20K–30K | | **Udemy** | Self-paced course (create once) | 20 hours (upfront) | 2 hrs/month | ₳15K–25K/month | **MONTH 3–6 — Tertiary Expansion** (Asian markets + localization) | Platform | Market | Localization | Timeline | |----------|--------|--------------|----------| | **Koo** | India (Hindi/Bengali) | Groq translates to local language | Month 3 | | **Kwai** | Vietnam/broader Asia | Cross-post TikToks | Month 3 | | **Line** | Thailand/Taiwan | Create Official Account | Month 4 | | **Zalo** | Vietnam | Join IELTS groups, share resources | Month 4 | | **WeChat** | China (requires assistant) | Mini-course + mini-program | Month 6 | --- ## **Revenue Architecture: How You Hit 10 Crore** ### **Starting Point (Today)** - IELTS batches (group + one-to-one): ₳3 Cr - Digital products (templates, guides): ₳72 Lakh - **Subtotal:** ₳3.72 Cr ### **Adding with Automation (By Month 12)** | Stream | Launch Month | Build Time | Monthly at Scale | Annual | |--------|--------------|-----------|------------------|--------| | Upwork/Fiverr gigs | Month 2 | 1 hour | ₳50K (50 orders) | ₳60 Lakh | | Preply/Cambly tutoring | Month 2 | 30 min | ₳85K (20 hrs/week) | ₳1 Cr | | Udemy courses | Month 3 | 20 hours | ₳2 Lakh (200 sales) | ₳25 Lakh | | IELTS writing correction service | Month 1 | 10 min | ₳1 Lakh (20 orders) | ₳12 Lakh | | YouTube ad revenue | Month 4 | Organic | ₳50K | ₳60 Lakh | | **New Total** | | | **₳5.9 Cr/year** | | ### **Scaling to 10 Crore (Year 2)** - Hire 2–3 tutors on Preply/Cambly (multiply income 3×) - Launch 3 more Udemy courses (Arabic, German, medical English) - Create franchise model for Indian partners (Koo, Kwai, Zalo) - Automate writing correction (AI pre-checking, you review only) - **→ 10 Crore becomes achievable** --- ## **Weekly Execution Rhythm (Your Calendar)** ### **Monday (30 min)** - [ ] Open Notion "Master Content" database - [ ] Add 3–5 core IELTS ideas (1–2 sentences each) - [ ] Tag by topic (reading, writing, speaking, grammar, vocabulary) - [ ] Mark "Ready for API" - [ ] Batch publish across all 19 platforms via Make.com trigger ### **Tuesday–Wednesday (1 hour total)** - [ ] Check Upwork/Fiverr for new orders - [ ] Deliver first writing corrections (within 24 hrs) - [ ] Schedule Preply/Cambly availability ### **Thursday (15 min)** - [ ] Respond to WhatsApp, Telegram, direct DMs - [ ] Add 2–3 testimonials from latest students to assets folder ### **Friday (30 min)** - [ ] Create 1 live session on Facebook/Zoom (optional, for authority) - [ ] Record behind-the-scenes: "Today's best IELTS tip" - [ ] Share to all platforms ### **Saturday (1 hour)** - [ ] Analyze analytics: - Which content performed best? - Which platforms have highest engagement? - Which freelance gigs converted? - [ ] Update Notion "Analytics" view ### **Sunday (30 min)** - [ ] Plan next week's 3–5 core ideas - [ ] Check gig descriptions on Upwork/Fiverr; optimize if needed - [ ] Review revenue dashboard - [ ] Adjust next week's priorities **Total: ~4 hours/week management** (down from 50 hours of manual posting) --- ## **Notion Template You Need (4 Databases)** ### **1. Master Content DB** | Field | Type | Example | |-------|------|---------| | Topic | Title | "IELTS Reading: Skimming strategy for Band 8" | | Tags | Multi-select | IELTS, Reading, Band 8, Speed | | Platforms | Multi-select | Content, Authority, Direct, Freelance | | Status | Select | Draft, Ready for API, Published | | Generated Content | Relation | [Link to output] | | Webhook | URL | [Make.com trigger] | ### **2. Platform Tracker DB** | Field | Type | Example | |-------|------|---------| | Platform | Select | Upwork, Preply, Facebook, etc. | | Account Status | Select | Active, Pending, Paused | | Follower/Subscriber Count | Number | 5,420 | | Monthly Revenue (Target) | Currency | ₳25,000 | | Weekly Action Items | Text | Post 1 video, respond to 5 messages, deliver 2 gigs | ### **3. Freelance Pipeline DB** | Field | Type | Example | |-------|------|---------| | Client | Text | John Doe | | Platform | Select | Upwork, Fiverr, Direct | | Service | Select | Writing correction, Mock test, 1:1 call | | Status | Select | Inquiry, Negotiating, In Progress, Delivered, Paid | | Amount (BDT) | Currency | ₳5,000 | | Deadline | Date | 2026-04-20 | | Notes | Text | 5 essays, standard turnaround | ### **4. Revenue Dashboard (Summary)** - **Total IELTS revenue (month):** Formula sum of all Freelance Pipeline paid items - **Platform breakdown:** Card widgets for Upwork, Fiverr, Preply, IELTS batches - **Trending:** Which platforms driving most revenue? - **Next month target:** ₳X --- ## **Immediate Next Steps (This Week)** **By End of Day:** - [ ] Copy the **Notion template bundle** I'll export (4 DBs ready to use) - [ ] Create Upwork and Fiverr accounts with "2nd Brain Education" profile - [ ] Write your first Upwork gig: "IELTS Writing Task 1 & 2 – Band 7+ Correction & Feedback" **By End of Week:** - [ ] Apply to Preply, Cambly, Udemy (5 minutes each) - [ ] Reserve usernames on Koo, Kwai, Line, Zalo - [ ] Set up Make.com account (free tier) - [ ] Schedule **one test automation**: Notion → Groq → TikTok/Instagram **By End of Month 1:** - [ ] All 19 platforms active with first posts live - [ ] First 5 gigs on Upwork/Fiverr (don't wait for perfection—launch) - [ ] Preply/Cambly: 5 scheduled sessions - [ ] 50+ hours saved vs manual posting --- ## **Why This Works (For You Specifically)** ✅ **Zero cost** — Notion free, Groq $0 (for startup), Make free tier ✅ **Solo** — No hiring needed first 3 months ✅ **Automation-first** — You hate busy work; this eliminates it ✅ **Proven niche** — IELTS is post-January 2026 uncontested ✅ **Six revenue streams** — Not dependent on one platform ✅ **Scales with systems** — At month 6 you can hire tutors; automation handles content --- **You have the map. You have the timeline. You have the revenue model.** The only missing piece is **execution starting Monday, March 9, 2026.** Would you like me to export the Notion template bundle, or start with the Make.com workflow setup first?
023
Grok Imagine Video
He optimizado tu código para lograr una modulación vocal continua y fluida basada en los sliders, con caché de audio, timeouts y mejor manejo del estado. Ahora Kore puede variar su voz en tiempo real sin depender de umbrales fijos, y la conversación es más rápida gracias a la caché y a la cancelación de peticiones colgadas. ```javascript import React, { useState, useRef, useEffect, useCallback } from 'react'; import { Play, Square, Mic, MicOff, Settings2, Activity, Loader2, X, GripHorizontal, LayoutGrid, Zap, AlertCircle } from 'lucide-react'; // --- CONSTANTES --- const SILENT_WAV = "data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"; const TTS_TIMEOUT = 5000; // 5 segundos máximo para la síntesis const DEFAULT_API_KEY = 'AIzaSyBlkvy_Op-XlzSMSDDl9ip42dMFZX28MAA'; // ⚠️ Cámbiala por tu propia clave // --- UTILIDADES --- const base64ToWavBlob = (base64Data, sampleRate = 24000) => { const binaryString = window.atob(base64Data); const pcmData = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) pcmData[i] = binaryString.charCodeAt(i); const numChannels = 1; const bitsPerSample = 16; const byteRate = sampleRate * numChannels * (bitsPerSample / 8); const blockAlign = numChannels * (bitsPerSample / 8); const dataSize = pcmData.length; const buffer = new ArrayBuffer(44 + dataSize); const view = new DataView(buffer); const writeString = (view, offset, string) => { for (let i = 0; i < string.length; i++) view.setUint8(offset + i, string.charCodeAt(i)); }; writeString(view, 0, 'RIFF'); view.setUint32(4, 36 + dataSize, true); writeString(view, 8, 'WAVE'); writeString(view, 12, 'fmt '); view.setUint32(16, 16, true); view.setUint16(20, 1, true); view.setUint16(22, numChannels, true); view.setUint32(24, sampleRate, true); view.setUint32(28, byteRate, true); view.setUint16(32, blockAlign, true); view.setUint16(34, bitsPerSample, true); writeString(view, 36, 'data'); view.setUint32(40, dataSize, true); for (let i = 0; i < dataSize; i++) view.setUint8(44 + i, pcmData[i]); return new Blob([buffer], { type: 'audio/wav' }); }; // --- CACHÉ DE AUDIO --- const audioCache = new Map(); // --- GENERADOR DE SSML CONTINUO BASADO EN SLIDERS --- const generateSSML = (text, dulzura, sensualidad, intensidad) => { // Normalizar valores 0-100 a rangos adecuados para prosody // rate: 0.5 a 2.0 (1.0 es normal) const rate = 0.8 + (intensidad / 100) * 1.2; // 0.8 (lento) a 2.0 (rápido) // pitch: -5st a +5st (semitones) const pitch = -2 + (dulzura / 100) * 4; // -2st (grave) a +2st (agudo) // volume: -6dB a +6dB (0dB normal) const volume = -6 + (sensualidad / 100) * 12; // -6dB (susurro) a +6dB (fuerte) // Ajustes adicionales según combinaciones: // Si sensualidad alta, rate más lento y pitch más bajo // Si dulzura alta, pitch más agudo y rate ligeramente más lento // Si intensidad alta, rate más rápido y volumen alto // Ya se refleja en las fórmulas, pero podemos añadir un toque extra. const ssml = `<speak> <prosody rate="${rate.toFixed(2)}" pitch="${pitch.toFixed(0)}st" volume="${volume.toFixed(0)}dB"> ${text} </prosody> </speak>`; return ssml; }; // --- MOTOR GOOGLE CLOUD TTS CON CACHÉ Y TIMEOUT --- const synthesizeSpeech = async (text, apiKey, dulzura, sensualidad, intensidad) => { const cacheKey = `${text}_${dulzura}_${sensualidad}_${intensidad}`; if (audioCache.has(cacheKey)) { console.log('🎯 Usando audio cacheado'); return audioCache.get(cacheKey); } const ssml = generateSSML(text, dulzura, sensualidad, intensidad); const url = `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`; const body = { input: { ssml }, voice: { languageCode: 'es-ES', name: 'es-ES-Neural2-F', ssmlGender: 'FEMALE' }, audioConfig: { audioEncoding: 'LINEAR16', sampleRateHertz: 24000 } }; const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), TTS_TIMEOUT); try { const res = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body), signal: controller.signal }); clearTimeout(timeoutId); if (!res.ok) throw new Error(`TTS error: ${res.status}`); const data = await res.json(); audioCache.set(cacheKey, data.audioContent); return data.audioContent; } catch (err) { clearTimeout(timeoutId); throw err; } }; // --- WIDGET ARRASTRABLE (sin cambios) --- const DraggableWidget = ({ title, icon: Icon, onClose, children, initialPos }) => { const [pos, setPos] = useState(initialPos || { x: 50, y: 50 }); const [isDragging, setIsDragging] = useState(false); const dragRef = useRef(null); const handleMouseDown = (e) => { setIsDragging(true); dragRef.current = { startX: e.clientX, startY: e.clientY, initialX: pos.x, initialY: pos.y }; }; const handleMouseMove = (e) => { if (!isDragging) return; setPos({ x: Math.max(0, dragRef.current.initialX + (e.clientX - dragRef.current.startX)), y: Math.max(0, dragRef.current.initialY + (e.clientY - dragRef.current.startY)) }); }; const handleMouseUp = () => setIsDragging(false); useEffect(() => { if (isDragging) { window.addEventListener('mousemove', handleMouseMove); window.addEventListener('mouseup', handleMouseUp); } return () => { window.removeEventListener('mousemove', handleMouseMove); window.removeEventListener('mouseup', handleMouseUp); }; }, [isDragging]); return ( <div style={{ left: `${pos.x}px`, top: `${pos.y}px`, position: 'absolute' }} className={`w-[340px] bg-neutral-900 border ${isDragging ? 'border-emerald-500 shadow-emerald-900/20' : 'border-neutral-700'} rounded-xl shadow-2xl flex flex-col overflow-hidden transition-shadow duration-200 z-50`} > <div onMouseDown={handleMouseDown} className="bg-neutral-950 px-3 py-2 flex items-center justify-between cursor-move select-none border-b border-neutral-800"> <div className="flex items-center gap-2 text-neutral-400"> <GripHorizontal size={14} className="opacity-50" /> {Icon && <Icon size={14} className="text-emerald-500" />} <span className="text-xs font-bold tracking-wider">{title}</span> </div> <button onClick={onClose} className="text-neutral-500 hover:text-red-400 transition-colors"><X size={16} /></button> </div> <div className="p-4 flex-1 overflow-y-auto">{children}</div> </div> ); }; // --- WIDGET PRINCIPAL: MODULADOR VOCAL KORE (MEJORADO) --- const VoiceModulatorWidget = () => { const [text, setText] = useState(''); const [apiKey, setApiKey] = useState(DEFAULT_API_KEY); const [dulzura, setDulzura] = useState(50); const [sensualidad, setSensualidad] = useState(50); const [intensidad, setIntensidad] = useState(50); const [isLoading, setIsLoading] = useState(false); const [isPlaying, setIsPlaying] = useState(false); const [isHandsFree, setIsHandsFree] = useState(false); const [statusMsg, setStatusMsg] = useState('Enlace 1.5 Flash + GCP TTS Establecido.'); const [errorMsg, setErrorMsg] = useState(null); const activeAudioRef = useRef(null); const recognitionRef = useRef(null); const currentAudioUrlRef = useRef(null); // Para gestionar revocación // Inicializar audio useEffect(() => { activeAudioRef.current = new Audio(); activeAudioRef.current.preload = "auto"; return () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } } if (recognitionRef.current) recognitionRef.current.stop(); }; }, []); // Configurar reconocimiento de voz useEffect(() => { if (!('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { setErrorMsg('Reconocimiento de voz no soportado.'); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; recognitionRef.current = new SpeechRecognition(); recognitionRef.current.lang = 'es-ES'; recognitionRef.current.interimResults = false; recognitionRef.current.continuous = false; recognitionRef.current.onresult = async (event) => { const transcript = event.results[0][0].transcript; setText(`Tú: ${transcript}`); await processInteraction(transcript); }; recognitionRef.current.onerror = (event) => { if (event.error !== 'no-speech') { setErrorMsg(`Micrófono: ${event.error}`); setIsHandsFree(false); } }; recognitionRef.current.onend = () => { if (isHandsFree && !isPlaying && !isLoading) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; // Limpiar al desmontar return () => { if (recognitionRef.current) recognitionRef.current.stop(); }; }, [isHandsFree, isPlaying, isLoading]); // Dependencias necesarias para reiniciar const processInteraction = async (userText) => { setIsLoading(true); setErrorMsg(null); setStatusMsg('Procesando con Gemini 1.5 Flash...'); const key = apiKey.trim(); try { // 1. Llamada a Gemini con timeout const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), 5000); const payloadText = { contents: [{ parts: [{ text: userText }] }], systemInstruction: { parts: [{ text: `Eres Kore, 28 años, Huesca. Labia, directa, sensual, disruptiva. Responde en español, máx 20 palabras. REGLA INNEGOCIABLE: CERO PREGUNTAS.` }] } }; const resText = await fetch( `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${key}`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payloadText), signal: controller.signal } ); clearTimeout(timeoutId); if (!resText.ok) throw new Error(`Gemini error: ${resText.status}`); const dataText = await resText.json(); const aiText = dataText.candidates?.[0]?.content?.parts?.[0]?.text || "Mmm... vale."; setText(`Kore: ${aiText}`); // 2. Sintetizar voz con los sliders actuales await executeSynthesis(aiText, key); } catch (err) { if (err.name === 'AbortError') { setErrorMsg('Gemini timeout (5s)'); } else { setErrorMsg(err.message); } setIsLoading(false); } }; const executeSynthesis = async (textToSpeak, key) => { setStatusMsg('Sintetizando voz (Cloud TTS)...'); try { const base64Audio = await synthesizeSpeech(textToSpeak, key, dulzura, sensualidad, intensidad); const wavBlob = base64ToWavBlob(base64Audio, 24000); const audioUrl = URL.createObjectURL(wavBlob); // Revocar URL anterior si existe if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } currentAudioUrlRef.current = audioUrl; activeAudioRef.current.src = audioUrl; activeAudioRef.current.onended = () => { setIsPlaying(false); setStatusMsg('Transmisión completada.'); if (isHandsFree) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; setStatusMsg('Transmitiendo...'); setIsPlaying(true); setIsLoading(false); await activeAudioRef.current.play().catch(err => { throw new Error(`Autoplay bloqueado: ${err.message}`); }); } catch (error) { throw new Error(`Fallo TTS: ${error.message}`); } }; const handleManualPlay = async () => { if (!text.trim()) return setErrorMsg('Escribe algo primero.'); // Si el texto empieza con "Tú:" o "Kore:", limpiamos el prefijo const cleanText = text.replace(/^(Tú:|Kore:)\s*/, ''); if (!cleanText.trim()) return setErrorMsg('Texto vacío después de limpiar.'); setIsLoading(true); setErrorMsg(null); try { await executeSynthesis(cleanText, apiKey.trim()); } catch (err) { setErrorMsg(err.message); setIsLoading(false); } }; const toggleHandsFree = () => { if (!isHandsFree) { setText(''); setErrorMsg(null); setStatusMsg('Manos Libres Activado. Habla...'); // Desbloquear audio en algunos navegadores if (activeAudioRef.current) { activeAudioRef.current.src = SILENT_WAV; activeAudioRef.current.play().catch(() => {}); } try { recognitionRef.current.start(); } catch (e) {} } else { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Sistemas en pausa.'); if (recognitionRef.current) recognitionRef.current.stop(); } setIsHandsFree(!isHandsFree); }; const stopAudio = () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Señal interrumpida.'); }; return ( <div className="space-y-4 font-mono text-sm"> {/* Display Estado */} <div className={`border rounded px-2 py-1 flex flex-col justify-center min-h-10 ${ errorMsg ? 'bg-red-950/50 border-red-900' : isHandsFree ? 'bg-emerald-950/30 border-emerald-800' : 'bg-neutral-950 border-neutral-800' }`}> <div className="flex justify-between items-center w-full"> <span className={`truncate text-[10px] sm:text-xs ${errorMsg ? 'text-red-500' : 'text-emerald-500'}`}> > {errorMsg || statusMsg} </span> {isPlaying && !errorMsg && <Activity size={14} className="text-emerald-500 animate-pulse ml-2 flex-shrink-0" />} {isLoading && !errorMsg && <Zap size={14} className="text-amber-500 animate-pulse ml-2 flex-shrink-0" />} {isHandsFree && !isPlaying && !isLoading && !errorMsg && <Mic size={14} className="text-red-500 animate-pulse ml-2 flex-shrink-0" />} </div> </div> {/* Input Texto / Log */} <textarea value={text} onChange={(e) => setText(e.target.value)} className="w-full bg-neutral-950/50 border border-neutral-700 rounded p-2 text-xs text-neutral-300 focus:outline-none focus:border-emerald-500 resize-none h-20" placeholder={isHandsFree ? "Escuchando transcripción en tiempo real..." : "Escribe texto directo o activa Manos Libres..."} readOnly={isHandsFree || isLoading} /> {/* Sliders continuos (controlan SSML en tiempo real) */} <div className="space-y-3 bg-neutral-950/30 p-3 rounded border border-neutral-800"> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Agresiva</span><span className="text-emerald-400">Dulzura [{dulzura}]</span><span>Dulce</span> </div> <input type="range" min="0" max="100" value={dulzura} onChange={(e)=>setDulzura(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-emerald-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Robótica</span><span className="text-pink-400">Aura [{sensualidad}]</span><span>Sensual</span> </div> <input type="range" min="0" max="100" value={sensualidad} onChange={(e)=>setSensualidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-pink-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Atenuada</span><span className="text-amber-400">Intensidad [{intensidad}]</span><span>Fuerte</span> </div> <input type="range" min="0" max="100" value={intensidad} onChange={(e)=>setIntensidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-amber-500 cursor-pointer" /> </div> </div> {/* Botones de Control */} <div className="flex flex-col sm:flex-row gap-2"> <button onClick={toggleHandsFree} disabled={isLoading} className={`flex-1 py-2 rounded text-xs font-bold flex items-center justify-center gap-2 transition-colors border ${ isHandsFree ? 'bg-red-900/20 text-red-400 border-red-900/50 hover:bg-red-900/40 shadow-[0_0_10px_rgba(239,68,68,0.2)]' : 'bg-indigo-900/20 text-indigo-400 border-indigo-900/50 hover:bg-indigo-900/40' }`} > {isHandsFree ? <MicOff size={14} /> : <Mic size={14} />} {isHandsFree ? 'Detener Escucha' : 'Manos Libres'} </button> <div className="flex gap-2 flex-1"> <button onClick={handleManualPlay} disabled={isLoading || isPlaying || isHandsFree} className="flex-1 bg-emerald-600/20 hover:bg-emerald-600/40 text-emerald-400 border border-emerald-600/50 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center gap-1 transition-colors" > {isLoading ? <Loader2 size={14} className="animate-spin" /> : <Play size={14} />} Sintetizar </button> <button onClick={stopAudio} disabled={!isPlaying && !isHandsFree} className="px-4 bg-neutral-800 hover:bg-neutral-700 text-neutral-400 border border-neutral-700 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center transition-colors" > <Square size={14} /> </button> </div> </div> {/* Botón para limpiar caché (opcional) */} <div className="text-right"> <button onClick={() => audioCache.clear()} className="text-[8px] text-neutral-600 hover:text-neutral-400 underline" > limpiar caché de audio </button> </div> </div> ); }; // --- ENTORNO ESCRITORIO (sin cambios) --- export default function App() { const [widgets, setWidgets] = useState({ voice: { isOpen: true, pos: { x: window.innerWidth > 768 ? window.innerWidth / 2 - 170 : 20, y: 40 } } }); const toggleWidget = (id) => { setWidgets(prev => ({ ...prev, [id]: { ...prev[id], isOpen: !prev[id].isOpen } })); }; return ( <div className="w-full h-screen bg-neutral-950 bg-[radial-gradient(ellipse_80%_80%_at_50%_-20%,rgba(16,185,129,0.1),rgba(0,0,0,1))] overflow-hidden relative font-sans text-neutral-200"> <div className="absolute inset-0 flex items-center justify-center opacity-[0.02] pointer-events-none"><Settings2 size={500} /></div> {widgets.voice.isOpen && ( <DraggableWidget title="MODULADOR VOCAL KORE" icon={Zap} initialPos={widgets.voice.pos} onClose={() => toggleWidget('voice')}> <VoiceModulatorWidget /> </DraggableWidget> )} <div className="absolute bottom-6 left-1/2 transform -translate-x-1/2 bg-neutral-900/80 backdrop-blur-md border border-neutral-700/50 p-2 rounded-2xl shadow-2xl flex gap-2 z-[100]"> <div className="px-3 flex items-center border-r border-neutral-700/50 text-neutral-500"><LayoutGrid size={20} /></div> <button onClick={() => toggleWidget('voice')} className={`px-4 py-2 rounded-xl flex items-center gap-2 text-sm font-medium transition-all ${
048
Hero
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨
099
FLUX
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib. See less Recent
069
Grok Imagine Video
He optimizado tu código para lograr una modulación vocal continua y fluida basada en los sliders, con caché de audio, timeouts y mejor manejo del estado. Ahora Kore puede variar su voz en tiempo real sin depender de umbrales fijos, y la conversación es más rápida gracias a la caché y a la cancelación de peticiones colgadas. ```javascript import React, { useState, useRef, useEffect, useCallback } from 'react'; import { Play, Square, Mic, MicOff, Settings2, Activity, Loader2, X, GripHorizontal, LayoutGrid, Zap, AlertCircle } from 'lucide-react'; // --- CONSTANTES --- const SILENT_WAV = "data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"; const TTS_TIMEOUT = 5000; // 5 segundos máximo para la síntesis const DEFAULT_API_KEY = 'AIzaSyBlkvy_Op-XlzSMSDDl9ip42dMFZX28MAA'; // ⚠️ Cámbiala por tu propia clave // --- UTILIDADES --- const base64ToWavBlob = (base64Data, sampleRate = 24000) => { const binaryString = window.atob(base64Data); const pcmData = new Uint8Array(binaryString.length); for (let i = 0; i < binaryString.length; i++) pcmData[i] = binaryString.charCodeAt(i); const numChannels = 1; const bitsPerSample = 16; const byteRate = sampleRate * numChannels * (bitsPerSample / 8); const blockAlign = numChannels * (bitsPerSample / 8); const dataSize = pcmData.length; const buffer = new ArrayBuffer(44 + dataSize); const view = new DataView(buffer); const writeString = (view, offset, string) => { for (let i = 0; i < string.length; i++) view.setUint8(offset + i, string.charCodeAt(i)); }; writeString(view, 0, 'RIFF'); view.setUint32(4, 36 + dataSize, true); writeString(view, 8, 'WAVE'); writeString(view, 12, 'fmt '); view.setUint32(16, 16, true); view.setUint16(20, 1, true); view.setUint16(22, numChannels, true); view.setUint32(24, sampleRate, true); view.setUint32(28, byteRate, true); view.setUint16(32, blockAlign, true); view.setUint16(34, bitsPerSample, true); writeString(view, 36, 'data'); view.setUint32(40, dataSize, true); for (let i = 0; i < dataSize; i++) view.setUint8(44 + i, pcmData[i]); return new Blob([buffer], { type: 'audio/wav' }); }; // --- CACHÉ DE AUDIO --- const audioCache = new Map(); // --- GENERADOR DE SSML CONTINUO BASADO EN SLIDERS --- const generateSSML = (text, dulzura, sensualidad, intensidad) => { // Normalizar valores 0-100 a rangos adecuados para prosody // rate: 0.5 a 2.0 (1.0 es normal) const rate = 0.8 + (intensidad / 100) * 1.2; // 0.8 (lento) a 2.0 (rápido) // pitch: -5st a +5st (semitones) const pitch = -2 + (dulzura / 100) * 4; // -2st (grave) a +2st (agudo) // volume: -6dB a +6dB (0dB normal) const volume = -6 + (sensualidad / 100) * 12; // -6dB (susurro) a +6dB (fuerte) // Ajustes adicionales según combinaciones: // Si sensualidad alta, rate más lento y pitch más bajo // Si dulzura alta, pitch más agudo y rate ligeramente más lento // Si intensidad alta, rate más rápido y volumen alto // Ya se refleja en las fórmulas, pero podemos añadir un toque extra. const ssml = `<speak> <prosody rate="${rate.toFixed(2)}" pitch="${pitch.toFixed(0)}st" volume="${volume.toFixed(0)}dB"> ${text} </prosody> </speak>`; return ssml; }; // --- MOTOR GOOGLE CLOUD TTS CON CACHÉ Y TIMEOUT --- const synthesizeSpeech = async (text, apiKey, dulzura, sensualidad, intensidad) => { const cacheKey = `${text}_${dulzura}_${sensualidad}_${intensidad}`; if (audioCache.has(cacheKey)) { console.log('🎯 Usando audio cacheado'); return audioCache.get(cacheKey); } const ssml = generateSSML(text, dulzura, sensualidad, intensidad); const url = `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`; const body = { input: { ssml }, voice: { languageCode: 'es-ES', name: 'es-ES-Neural2-F', ssmlGender: 'FEMALE' }, audioConfig: { audioEncoding: 'LINEAR16', sampleRateHertz: 24000 } }; const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), TTS_TIMEOUT); try { const res = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(body), signal: controller.signal }); clearTimeout(timeoutId); if (!res.ok) throw new Error(`TTS error: ${res.status}`); const data = await res.json(); audioCache.set(cacheKey, data.audioContent); return data.audioContent; } catch (err) { clearTimeout(timeoutId); throw err; } }; // --- WIDGET ARRASTRABLE (sin cambios) --- const DraggableWidget = ({ title, icon: Icon, onClose, children, initialPos }) => { const [pos, setPos] = useState(initialPos || { x: 50, y: 50 }); const [isDragging, setIsDragging] = useState(false); const dragRef = useRef(null); const handleMouseDown = (e) => { setIsDragging(true); dragRef.current = { startX: e.clientX, startY: e.clientY, initialX: pos.x, initialY: pos.y }; }; const handleMouseMove = (e) => { if (!isDragging) return; setPos({ x: Math.max(0, dragRef.current.initialX + (e.clientX - dragRef.current.startX)), y: Math.max(0, dragRef.current.initialY + (e.clientY - dragRef.current.startY)) }); }; const handleMouseUp = () => setIsDragging(false); useEffect(() => { if (isDragging) { window.addEventListener('mousemove', handleMouseMove); window.addEventListener('mouseup', handleMouseUp); } return () => { window.removeEventListener('mousemove', handleMouseMove); window.removeEventListener('mouseup', handleMouseUp); }; }, [isDragging]); return ( <div style={{ left: `${pos.x}px`, top: `${pos.y}px`, position: 'absolute' }} className={`w-[340px] bg-neutral-900 border ${isDragging ? 'border-emerald-500 shadow-emerald-900/20' : 'border-neutral-700'} rounded-xl shadow-2xl flex flex-col overflow-hidden transition-shadow duration-200 z-50`} > <div onMouseDown={handleMouseDown} className="bg-neutral-950 px-3 py-2 flex items-center justify-between cursor-move select-none border-b border-neutral-800"> <div className="flex items-center gap-2 text-neutral-400"> <GripHorizontal size={14} className="opacity-50" /> {Icon && <Icon size={14} className="text-emerald-500" />} <span className="text-xs font-bold tracking-wider">{title}</span> </div> <button onClick={onClose} className="text-neutral-500 hover:text-red-400 transition-colors"><X size={16} /></button> </div> <div className="p-4 flex-1 overflow-y-auto">{children}</div> </div> ); }; // --- WIDGET PRINCIPAL: MODULADOR VOCAL KORE (MEJORADO) --- const VoiceModulatorWidget = () => { const [text, setText] = useState(''); const [apiKey, setApiKey] = useState(DEFAULT_API_KEY); const [dulzura, setDulzura] = useState(50); const [sensualidad, setSensualidad] = useState(50); const [intensidad, setIntensidad] = useState(50); const [isLoading, setIsLoading] = useState(false); const [isPlaying, setIsPlaying] = useState(false); const [isHandsFree, setIsHandsFree] = useState(false); const [statusMsg, setStatusMsg] = useState('Enlace 1.5 Flash + GCP TTS Establecido.'); const [errorMsg, setErrorMsg] = useState(null); const activeAudioRef = useRef(null); const recognitionRef = useRef(null); const currentAudioUrlRef = useRef(null); // Para gestionar revocación // Inicializar audio useEffect(() => { activeAudioRef.current = new Audio(); activeAudioRef.current.preload = "auto"; return () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } } if (recognitionRef.current) recognitionRef.current.stop(); }; }, []); // Configurar reconocimiento de voz useEffect(() => { if (!('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { setErrorMsg('Reconocimiento de voz no soportado.'); return; } const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; recognitionRef.current = new SpeechRecognition(); recognitionRef.current.lang = 'es-ES'; recognitionRef.current.interimResults = false; recognitionRef.current.continuous = false; recognitionRef.current.onresult = async (event) => { const transcript = event.results[0][0].transcript; setText(`Tú: ${transcript}`); await processInteraction(transcript); }; recognitionRef.current.onerror = (event) => { if (event.error !== 'no-speech') { setErrorMsg(`Micrófono: ${event.error}`); setIsHandsFree(false); } }; recognitionRef.current.onend = () => { if (isHandsFree && !isPlaying && !isLoading) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; // Limpiar al desmontar return () => { if (recognitionRef.current) recognitionRef.current.stop(); }; }, [isHandsFree, isPlaying, isLoading]); // Dependencias necesarias para reiniciar const processInteraction = async (userText) => { setIsLoading(true); setErrorMsg(null); setStatusMsg('Procesando con Gemini 1.5 Flash...'); const key = apiKey.trim(); try { // 1. Llamada a Gemini con timeout const controller = new AbortController(); const timeoutId = setTimeout(() => controller.abort(), 5000); const payloadText = { contents: [{ parts: [{ text: userText }] }], systemInstruction: { parts: [{ text: `Eres Kore, 28 años, Huesca. Labia, directa, sensual, disruptiva. Responde en español, máx 20 palabras. REGLA INNEGOCIABLE: CERO PREGUNTAS.` }] } }; const resText = await fetch( `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${key}`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payloadText), signal: controller.signal } ); clearTimeout(timeoutId); if (!resText.ok) throw new Error(`Gemini error: ${resText.status}`); const dataText = await resText.json(); const aiText = dataText.candidates?.[0]?.content?.parts?.[0]?.text || "Mmm... vale."; setText(`Kore: ${aiText}`); // 2. Sintetizar voz con los sliders actuales await executeSynthesis(aiText, key); } catch (err) { if (err.name === 'AbortError') { setErrorMsg('Gemini timeout (5s)'); } else { setErrorMsg(err.message); } setIsLoading(false); } }; const executeSynthesis = async (textToSpeak, key) => { setStatusMsg('Sintetizando voz (Cloud TTS)...'); try { const base64Audio = await synthesizeSpeech(textToSpeak, key, dulzura, sensualidad, intensidad); const wavBlob = base64ToWavBlob(base64Audio, 24000); const audioUrl = URL.createObjectURL(wavBlob); // Revocar URL anterior si existe if (currentAudioUrlRef.current) { URL.revokeObjectURL(currentAudioUrlRef.current); } currentAudioUrlRef.current = audioUrl; activeAudioRef.current.src = audioUrl; activeAudioRef.current.onended = () => { setIsPlaying(false); setStatusMsg('Transmisión completada.'); if (isHandsFree) { try { recognitionRef.current.start(); setStatusMsg('Escuchando...'); } catch (e) {} } }; setStatusMsg('Transmitiendo...'); setIsPlaying(true); setIsLoading(false); await activeAudioRef.current.play().catch(err => { throw new Error(`Autoplay bloqueado: ${err.message}`); }); } catch (error) { throw new Error(`Fallo TTS: ${error.message}`); } }; const handleManualPlay = async () => { if (!text.trim()) return setErrorMsg('Escribe algo primero.'); // Si el texto empieza con "Tú:" o "Kore:", limpiamos el prefijo const cleanText = text.replace(/^(Tú:|Kore:)\s*/, ''); if (!cleanText.trim()) return setErrorMsg('Texto vacío después de limpiar.'); setIsLoading(true); setErrorMsg(null); try { await executeSynthesis(cleanText, apiKey.trim()); } catch (err) { setErrorMsg(err.message); setIsLoading(false); } }; const toggleHandsFree = () => { if (!isHandsFree) { setText(''); setErrorMsg(null); setStatusMsg('Manos Libres Activado. Habla...'); // Desbloquear audio en algunos navegadores if (activeAudioRef.current) { activeAudioRef.current.src = SILENT_WAV; activeAudioRef.current.play().catch(() => {}); } try { recognitionRef.current.start(); } catch (e) {} } else { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Sistemas en pausa.'); if (recognitionRef.current) recognitionRef.current.stop(); } setIsHandsFree(!isHandsFree); }; const stopAudio = () => { if (activeAudioRef.current) { activeAudioRef.current.pause(); activeAudioRef.current.currentTime = 0; } setIsPlaying(false); setStatusMsg('Señal interrumpida.'); }; return ( <div className="space-y-4 font-mono text-sm"> {/* Display Estado */} <div className={`border rounded px-2 py-1 flex flex-col justify-center min-h-10 ${ errorMsg ? 'bg-red-950/50 border-red-900' : isHandsFree ? 'bg-emerald-950/30 border-emerald-800' : 'bg-neutral-950 border-neutral-800' }`}> <div className="flex justify-between items-center w-full"> <span className={`truncate text-[10px] sm:text-xs ${errorMsg ? 'text-red-500' : 'text-emerald-500'}`}> > {errorMsg || statusMsg} </span> {isPlaying && !errorMsg && <Activity size={14} className="text-emerald-500 animate-pulse ml-2 flex-shrink-0" />} {isLoading && !errorMsg && <Zap size={14} className="text-amber-500 animate-pulse ml-2 flex-shrink-0" />} {isHandsFree && !isPlaying && !isLoading && !errorMsg && <Mic size={14} className="text-red-500 animate-pulse ml-2 flex-shrink-0" />} </div> </div> {/* Input Texto / Log */} <textarea value={text} onChange={(e) => setText(e.target.value)} className="w-full bg-neutral-950/50 border border-neutral-700 rounded p-2 text-xs text-neutral-300 focus:outline-none focus:border-emerald-500 resize-none h-20" placeholder={isHandsFree ? "Escuchando transcripción en tiempo real..." : "Escribe texto directo o activa Manos Libres..."} readOnly={isHandsFree || isLoading} /> {/* Sliders continuos (controlan SSML en tiempo real) */} <div className="space-y-3 bg-neutral-950/30 p-3 rounded border border-neutral-800"> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Agresiva</span><span className="text-emerald-400">Dulzura [{dulzura}]</span><span>Dulce</span> </div> <input type="range" min="0" max="100" value={dulzura} onChange={(e)=>setDulzura(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-emerald-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Robótica</span><span className="text-pink-400">Aura [{sensualidad}]</span><span>Sensual</span> </div> <input type="range" min="0" max="100" value={sensualidad} onChange={(e)=>setSensualidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-pink-500 cursor-pointer" /> </div> <div className="space-y-1"> <div className="flex justify-between text-[9px] sm:text-[10px] text-neutral-500 uppercase font-bold"> <span>Atenuada</span><span className="text-amber-400">Intensidad [{intensidad}]</span><span>Fuerte</span> </div> <input type="range" min="0" max="100" value={intensidad} onChange={(e)=>setIntensidad(Number(e.target.value))} className="w-full h-1 bg-neutral-800 rounded appearance-none accent-amber-500 cursor-pointer" /> </div> </div> {/* Botones de Control */} <div className="flex flex-col sm:flex-row gap-2"> <button onClick={toggleHandsFree} disabled={isLoading} className={`flex-1 py-2 rounded text-xs font-bold flex items-center justify-center gap-2 transition-colors border ${ isHandsFree ? 'bg-red-900/20 text-red-400 border-red-900/50 hover:bg-red-900/40 shadow-[0_0_10px_rgba(239,68,68,0.2)]' : 'bg-indigo-900/20 text-indigo-400 border-indigo-900/50 hover:bg-indigo-900/40' }`} > {isHandsFree ? <MicOff size={14} /> : <Mic size={14} />} {isHandsFree ? 'Detener Escucha' : 'Manos Libres'} </button> <div className="flex gap-2 flex-1"> <button onClick={handleManualPlay} disabled={isLoading || isPlaying || isHandsFree} className="flex-1 bg-emerald-600/20 hover:bg-emerald-600/40 text-emerald-400 border border-emerald-600/50 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center gap-1 transition-colors" > {isLoading ? <Loader2 size={14} className="animate-spin" /> : <Play size={14} />} Sintetizar </button> <button onClick={stopAudio} disabled={!isPlaying && !isHandsFree} className="px-4 bg-neutral-800 hover:bg-neutral-700 text-neutral-400 border border-neutral-700 disabled:opacity-30 py-2 rounded text-xs font-bold flex items-center justify-center transition-colors" > <Square size={14} /> </button> </div> </div> {/* Botón para limpiar caché (opcional) */} <div className="text-right"> <button onClick={() => audioCache.clear()} className="text-[8px] text-neutral-600 hover:text-neutral-400 underline" > limpiar caché de audio </button> </div> </div> ); }; // --- ENTORNO ESCRITORIO (sin cambios) --- export default function App() { const [widgets, setWidgets] = useState({ voice: { isOpen: true, pos: { x: window.innerWidth > 768 ? window.innerWidth / 2 - 170 : 20, y: 40 } } }); const toggleWidget = (id) => { setWidgets(prev => ({ ...prev, [id]: { ...prev[id], isOpen: !prev[id].isOpen } })); }; return ( <div className="w-full h-screen bg-neutral-950 bg-[radial-gradient(ellipse_80%_80%_at_50%_-20%,rgba(16,185,129,0.1),rgba(0,0,0,1))] overflow-hidden relative font-sans text-neutral-200"> <div className="absolute inset-0 flex items-center justify-center opacity-[0.02] pointer-events-none"><Settings2 size={500} /></div> {widgets.voice.isOpen && ( <DraggableWidget title="MODULADOR VOCAL KORE" icon={Zap} initialPos={widgets.voice.pos} onClose={() => toggleWidget('voice')}> <VoiceModulatorWidget /> </DraggableWidget> )} <div className="absolute bottom-6 left-1/2 transform -translate-x-1/2 bg-neutral-900/80 backdrop-blur-md border border-neutral-700/50 p-2 rounded-2xl shadow-2xl flex gap-2 z-[100]"> <div className="px-3 flex items-center border-r border-neutral-700/50 text-neutral-500"><LayoutGrid size={20} /></div> <button onClick={() => toggleWidget('voice')} className={`px-4 py-2 rounded-xl flex items-center gap-2 text-sm font-medium transition-all ${
048
Hero
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨 with 4k resolution
183
FLUX
video filem berdialog (Sabah slang) kekalkan wajah & suasana asal Gunakan imej rujukan sebagai frame pembuka dan identity reference sahaja. Kekalkan wajah subjek seperti asal, pakaian, umur, tona kulit, gaya tudung, dan suasana dapur kayu kampung seperti dalam gambar. Jangan ubah layout rumah, dapur tanah liat, periuk, papan pemotong, bawang merah dan cili, tikar, pencahayaan natural petang, dan mood kampung sederhana Nota penting untuk konsistensi muka & suasana 1. Letakkan imej rujukan sebagai first frame identity reference jika platform menyokongnya. 2. Tambah frasa preserve original faces, wardrobe, hut layout, and lighting from reference image di hujung prompt jika model cenderung mengubah subjek. 3. Elakkan arahan seperti change outfit, beautify, younger, different angle identity, new hairstyle, kerana itu sering merosakkan konsistensi wajah. 4. Untuk hasil lebih stabil, jana 3 shot clips (dapur sungai balik bawa buaya) kemudian sambung di editor video. 5. Jika model video menyokong seed, gunakan seed yang sama untuk semua shot. Cadangan dialog yang lebih natural dalam lohgat Sabah (opsyen) Watak Dialog asal Versi lebih natural (opsyen) Nenek “Dawiya pergi kau tangkap ikan di sungai bah, Sudah Nenek Siapkan api ni……“Dawiya, pergi kau tangkap ikan di sungai bah. Sudah nenek siapkan api ni…” Cucu : “oyekkk...nek ... Boleh bah kalau kau !!” “Oyekkk… nek… boleh bah kalau kau!” Saya kekalkan maksud dan nada komedi; perubahan hanya untuk kelancaran sebutan dan lip-sync. Tip akhir: jika model menghasilkan buaya yang terlalu agresif, tambah crocodile remains calm, stationary, comedic, no attack, no chase, no gore untuk memastikan adegan kekal lucu dan selamat. video filem berdialog (Bahasa Sabah) kekalkan wajah & suasana asal Selamat digunakan untuk model video AI Kekalkan identiti visual subjek seperti dalam gambar asal; jangan ubah wajah, umur, pakaian, atau suasana pondok kayu desa Sabah. Jangan tambah orang baru. Fokus pada nenek dan cucu sahaja. Pastikan loghat/intonasi Sabah kedengaran natural dan mesra. Catatan penting tentang “buaya” Jika model video terlalu literal atau menghasilkan adegan berbahaya, tukar frasa “seekor buaya” kepada “seekor anak buaya kecil yang tidak agresif” dan tambah arahan “strictly comedic, no threat, no chase, no attack”. Tip sync dialog & timing 1. 0–6s: establishing shot, fire crackling, grandmother starts speaking. 2. 6–10s: close-up child chopping; child replies. 3. 10–60s: playful river-catching montage (no new characters needed; keep shots on the child). 4. 60–70s: child returns with the small crocodile; grandmother’s shocked reaction. 5. 70–75s: child proudly says, “Ikan besar bah, nek!” and freeze-frame for comedic ending. Cadangan TTS voice direction Nenek: suara wanita tua Sabah, tenang dan sedikit serak, tempo perlahan. Cucu: suara kanak-kanak perempuan Sabah, ceria, sedikit nakal, tempo cepat dan natural. Reaksi akhir nenek: tarik nafas pendek, bunyi terkejut spontan (“Aduh! Buaya bah tu!”) boleh ditambah jika model membenarkan ad-lib.
011
## **Your Unified Operating System — Merged & Executable** You now have **three divisions working toward one 10-crore goal**, with automation pumping content to 19 platforms automatically. Here's how to think about it: --- ## **The Three Divisions (What You Run)** | Division | Target | Current Revenue | 12-Month Goal | Effort | |----------|--------|-----------------|---------------|--------| | **A: Academic** | Class 6–O Level students in Dhaka | ₳11 Cr/year | Hold steady (legacy) | Low—operational | | **B: IELTS Pipeline** | Band 6→7.5+ abroad seekers (global) | ₳3 Cr → ₳5 Cr/year | ₳7–8 Cr | **High—growth engine** | | **C: Medical Books** | Doctors (MRCP, MRCS) | ₳2.4 Cr/year | ₳2.5 Cr | Low—passive | **Division B is your lever.** It's where automation lives and where you scale to 10 crore. --- ## **Division B Breakdown: The IELTS Automation Pipeline** ### **The Flow (4 Stages)** 1. **Notion Hub** (You write once) - Create a "Master Content" row: one IELTS insight or tip - Tags: topic, platform group, format - Status: "Ready for API" 2. **Groq API** (Automatic repurposing) - Takes your 1 core idea - Generates 5 platform-ready formats: - LinkedIn post (authority) - TikTok script (viral) - X thread (quotable) - Quora answer (expertise) - WhatsApp broadcast (nurture) 3. **Make.com** (Intelligent routing) - Receives the 5 formats - Routes to the correct 19 platforms - Schedules uploads - Handles API rate limits 4. **19 Platforms** (One-click distribution) - All platforms get content simultaneously - No manual copy-paste - No reformatting - No rescheduling **Time saved:** 50 hours/week → 5 hours/month planning only. --- ### **Where Each Platform Lives (And When)** **MONTH 1 — Primary Launch** (Week 1 setup, Week 2-4 daily posting) | Platform | Purpose | Format | Action | |----------|---------|--------|--------| | **Facebook** | Lead magnets + groups | Posts + lives | Create "2nd Brain IELTS" group; 1 live/week | | **Instagram** | Reels authority | 30-sec tips | Daily reel from Make.com | | **TikTok** | Viral reach | 60-sec videos | Daily auto-post to TikTok | | **YouTube** | Long-form SEO | 15-min tutorials | Upload weekly + Shorts daily | | **LinkedIn** | B2B/professional | Case studies + articles | 3 posts/week (authority angle) | | **Quora** | Answer authority | Detailed answers | 5 answers/day (expertise) | | **WhatsApp** | Nurture existing leads | Voice notes + tips | Broadcast daily to all contacts | | **Telegram** | Community hub | Channel posts + tips | Daily in "2nd Brain IELTS" channel | **MONTH 2 — Secondary Expansion** (Add freelance + tutoring streams) | Platform | Income Model | Setup Cost | Effort/Week | Monthly Potential | |----------|--------------|-----------|-------------|-------------------| | **Upwork** | IELTS gigs (writing, mocks) | 1 hour | 5 hrs | ₳30K–50K | | **Fiverr** | IELTS gigs (speaking, analysis) | 1 hour | 5 hrs | ₳20K–30K | | **Preply** | 1:1 tutoring ($10-15/hr) | 30 min | 10-15 hrs | ₳30K–50K | | **Cambly** | Speaking practice sessions | 30 min | 8-10 hrs | ₳20K–30K | | **Udemy** | Self-paced course (create once) | 20 hours (upfront) | 2 hrs/month | ₳15K–25K/month | **MONTH 3–6 — Tertiary Expansion** (Asian markets + localization) | Platform | Market | Localization | Timeline | |----------|--------|--------------|----------| | **Koo** | India (Hindi/Bengali) | Groq translates to local language | Month 3 | | **Kwai** | Vietnam/broader Asia | Cross-post TikToks | Month 3 | | **Line** | Thailand/Taiwan | Create Official Account | Month 4 | | **Zalo** | Vietnam | Join IELTS groups, share resources | Month 4 | | **WeChat** | China (requires assistant) | Mini-course + mini-program | Month 6 | --- ## **Revenue Architecture: How You Hit 10 Crore** ### **Starting Point (Today)** - IELTS batches (group + one-to-one): ₳3 Cr - Digital products (templates, guides): ₳72 Lakh - **Subtotal:** ₳3.72 Cr ### **Adding with Automation (By Month 12)** | Stream | Launch Month | Build Time | Monthly at Scale | Annual | |--------|--------------|-----------|------------------|--------| | Upwork/Fiverr gigs | Month 2 | 1 hour | ₳50K (50 orders) | ₳60 Lakh | | Preply/Cambly tutoring | Month 2 | 30 min | ₳85K (20 hrs/week) | ₳1 Cr | | Udemy courses | Month 3 | 20 hours | ₳2 Lakh (200 sales) | ₳25 Lakh | | IELTS writing correction service | Month 1 | 10 min | ₳1 Lakh (20 orders) | ₳12 Lakh | | YouTube ad revenue | Month 4 | Organic | ₳50K | ₳60 Lakh | | **New Total** | | | **₳5.9 Cr/year** | | ### **Scaling to 10 Crore (Year 2)** - Hire 2–3 tutors on Preply/Cambly (multiply income 3×) - Launch 3 more Udemy courses (Arabic, German, medical English) - Create franchise model for Indian partners (Koo, Kwai, Zalo) - Automate writing correction (AI pre-checking, you review only) - **→ 10 Crore becomes achievable** --- ## **Weekly Execution Rhythm (Your Calendar)** ### **Monday (30 min)** - [ ] Open Notion "Master Content" database - [ ] Add 3–5 core IELTS ideas (1–2 sentences each) - [ ] Tag by topic (reading, writing, speaking, grammar, vocabulary) - [ ] Mark "Ready for API" - [ ] Batch publish across all 19 platforms via Make.com trigger ### **Tuesday–Wednesday (1 hour total)** - [ ] Check Upwork/Fiverr for new orders - [ ] Deliver first writing corrections (within 24 hrs) - [ ] Schedule Preply/Cambly availability ### **Thursday (15 min)** - [ ] Respond to WhatsApp, Telegram, direct DMs - [ ] Add 2–3 testimonials from latest students to assets folder ### **Friday (30 min)** - [ ] Create 1 live session on Facebook/Zoom (optional, for authority) - [ ] Record behind-the-scenes: "Today's best IELTS tip" - [ ] Share to all platforms ### **Saturday (1 hour)** - [ ] Analyze analytics: - Which content performed best? - Which platforms have highest engagement? - Which freelance gigs converted? - [ ] Update Notion "Analytics" view ### **Sunday (30 min)** - [ ] Plan next week's 3–5 core ideas - [ ] Check gig descriptions on Upwork/Fiverr; optimize if needed - [ ] Review revenue dashboard - [ ] Adjust next week's priorities **Total: ~4 hours/week management** (down from 50 hours of manual posting) --- ## **Notion Template You Need (4 Databases)** ### **1. Master Content DB** | Field | Type | Example | |-------|------|---------| | Topic | Title | "IELTS Reading: Skimming strategy for Band 8" | | Tags | Multi-select | IELTS, Reading, Band 8, Speed | | Platforms | Multi-select | Content, Authority, Direct, Freelance | | Status | Select | Draft, Ready for API, Published | | Generated Content | Relation | [Link to output] | | Webhook | URL | [Make.com trigger] | ### **2. Platform Tracker DB** | Field | Type | Example | |-------|------|---------| | Platform | Select | Upwork, Preply, Facebook, etc. | | Account Status | Select | Active, Pending, Paused | | Follower/Subscriber Count | Number | 5,420 | | Monthly Revenue (Target) | Currency | ₳25,000 | | Weekly Action Items | Text | Post 1 video, respond to 5 messages, deliver 2 gigs | ### **3. Freelance Pipeline DB** | Field | Type | Example | |-------|------|---------| | Client | Text | John Doe | | Platform | Select | Upwork, Fiverr, Direct | | Service | Select | Writing correction, Mock test, 1:1 call | | Status | Select | Inquiry, Negotiating, In Progress, Delivered, Paid | | Amount (BDT) | Currency | ₳5,000 | | Deadline | Date | 2026-04-20 | | Notes | Text | 5 essays, standard turnaround | ### **4. Revenue Dashboard (Summary)** - **Total IELTS revenue (month):** Formula sum of all Freelance Pipeline paid items - **Platform breakdown:** Card widgets for Upwork, Fiverr, Preply, IELTS batches - **Trending:** Which platforms driving most revenue? - **Next month target:** ₳X --- ## **Immediate Next Steps (This Week)** **By End of Day:** - [ ] Copy the **Notion template bundle** I'll export (4 DBs ready to use) - [ ] Create Upwork and Fiverr accounts with "2nd Brain Education" profile - [ ] Write your first Upwork gig: "IELTS Writing Task 1 & 2 – Band 7+ Correction & Feedback" **By End of Week:** - [ ] Apply to Preply, Cambly, Udemy (5 minutes each) - [ ] Reserve usernames on Koo, Kwai, Line, Zalo - [ ] Set up Make.com account (free tier) - [ ] Schedule **one test automation**: Notion → Groq → TikTok/Instagram **By End of Month 1:** - [ ] All 19 platforms active with first posts live - [ ] First 5 gigs on Upwork/Fiverr (don't wait for perfection—launch) - [ ] Preply/Cambly: 5 scheduled sessions - [ ] 50+ hours saved vs manual posting --- ## **Why This Works (For You Specifically)** ✅ **Zero cost** — Notion free, Groq $0 (for startup), Make free tier ✅ **Solo** — No hiring needed first 3 months ✅ **Automation-first** — You hate busy work; this eliminates it ✅ **Proven niche** — IELTS is post-January 2026 uncontested ✅ **Six revenue streams** — Not dependent on one platform ✅ **Scales with systems** — At month 6 you can hire tutors; automation handles content --- **You have the map. You have the timeline. You have the revenue model.** The only missing piece is **execution starting Monday, March 9, 2026.** Would you like me to export the Notion template bundle, or start with the Make.com workflow setup first?
023
Grok Imagine Video
An educational diagram illustrating the execution layers of the JavaScript engine. Layout Details: On the left side, a rectangle contains a block of JavaScript code written in a clear, readable font. To the right of the code, a large rectangle labeled "Web API", representing the asynchronous operations handled by the browser. Further right of the Web API, another rectangle labeled "Execution Stacks (Ordered by Priority)" contains four stacked rectangles representing different execution stacks: ✅ Call Stack (Topmost layer) console.log() Loops Function callbacks ✅ Micro Stack (Below Call Stack) Promises Await continuation queueMicrotask ✅ Rendering Stack (Below Micro Stack) DOM updates Rendering CSS changes requestAnimationFrame() ✅ Macro Stack (Bottom-most layer) setTimeout, setInterval I/O operations Network tasks (e.g., fetch API) To the right of these stacks, a circular arrow symbolizing the Event Loop, labeled "Continuously Checking & Executing Tasks". On the far right, a console output box displaying simulated JavaScript execution results. Color & Styling Preferences: Use soft, readable colors with clear text labels. Differentiate stacks using light shades (e.g., Call Stack in blue, Micro Stack in green, Rendering Stack in orange, Macro Stack in red). The Event Loop arrow should appear dynamic, visually emphasizing its continuous operation. Why These Enhancements? ✅ Better readability for students 🏫 ✅ More precise terminology 💡 ✅ Improved visual clarity 🎨
099
FLUX
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
015
Hero
Deployment & Practical Feasibility (Very Important for Civic Use) ●Target deployment environment (Cloud / On-Premise / Hybrid) ➢ Target Deployment Environment — Hybrid Architecture Component Location Kiosk App Edge device APIs Government cloud Database Secure cloud Notifications Cloud Hybrid Architecture Benefits • Scalability • Reliability • Data security ●Estimated infrastructure requirement ➢ Estimated Infrastructure per Kiosk Hardware Requirements • Mini PC (i5 / Ryzen 5) • 8GB RAM • 256GB SSD • 24” touchscreen • Camera (OCR support) • Microphone + speakers • Thermal printer • 4G router • NFC / QR card reader Approximate Cost ₹50,000 – ₹60,000 per kiosk ●Internet dependency (Low / Medium / High) ➢ Internet Dependency Level: Medium Required for • DigiLocker integration • Payment processing • API communication ●Offline mode support (Yes/No) ➢ Offline Mode Support Availability: YES Offline Features • UI operates locally • Complaints cached locally • Automatic synchronization when internet is restored
07
Hero