Document Management and Automation System Brief
Objective:
Develop a comprehensive document management and automation system using advanced OCR and AI technologies, integrated with Python automation scripts, featuring a user-friendly front-end interface.
Key Features:
Multi-Format File Upload Capability:
Support uploading of multiple file formats including .doc, .pdf, .jpg, and .png.
Ensure robust handling of different file sizes and types.
Dynamic Cover Page Creation:
Implement a form-based interface for users to input text.
Automatically generate a cover page for the document bundle using the provided text.
Include customizable templates for the cover page design.
Chronological File Merging:
Develop a system to merge uploaded files in a specified chronological order.
Ensure the merged document maintains formatting and quality of the original files.
Automated Content Page Generation:
Create an automated process to generate a content page for the merged document.
Extract and display the title of each file at the top of the document on the content page.
Ensure the content page is well-formatted and easy to navigate.
Interactive Content Page with Hyperlinks:
Implement hyperlinks in the content page for each line item.
Clicking a hyperlink should direct the user to the corresponding page in the merged document.
Ensure hyperlinks are accurate and responsive.
Technical Considerations:
OCR and AI Integration: Utilize OCR for text recognition in images and scanned documents. Leverage AI for intelligent sorting and merging of documents.
Python Automation: Develop backend automation scripts in Python to handle file processing, merging, and hyperlink creation.
Front-End Development: Design a simple, intuitive user interface for file uploads, form inputs, and document retrieval.
Quality Assurance: Ensure the system is tested for handling various file types, large volumes of data, and user accessibility.
Security: Implement robust security measures to protect sensitive documents and user data.
Development Phases:
Requirement Analysis and Planning: Define detailed specifications, select appropriate technologies and tools.
System Design and Architecture: Outline system architecture, including front-end and back-end components.
Development and Integration: Develop individual modules (OCR, file upload, document merging, etc.) and integrate them.
Testing and Quality Assurance: Conduct thorough testing for functionality, usability, and security.
Deployment and Feedback: Deploy the system for initial user feedback and iterative improvements.
High-Level Outline:
Front-End Development:
Create a web interface for file uploads and form inputs.
Technologies: HTML, CSS, JavaScript, and a framework like React or Angular.
Back-End Development:
Python-based back end for handling file uploads, processing, and merging.
Technologies: Python, Flask or Django for the web server.
OCR and AI Integration:
Use libraries like PyTesseract for OCR.
AI-based sorting and file manipulation can be achieved with machine learning libraries like TensorFlow or PyTorch.
File Processing and Merging:
Python libraries like Python-docx, PyPDF2, and Pillow for handling .doc, .pdf, and image files.
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