File Management System with Text Extraction and Summarization

Comprehensive File Management System with Text Extraction and Summarization
Overview:
This project showcases a full-stack solution designed for efficient file management, including file upload, text extraction, and summarization capabilities. Leveraging FastAPI for the backend and React for the frontend, this application provides a robust, user-friendly interface and powerful data processing features.
Technical Highlights:
Backend (FastAPI):
File Upload API: A secure and scalable endpoint to manage file uploads, ensuring only permitted formats (.docx, .pptx, .pdf) are processed. Includes authentication to safeguard access.
Authentication: Implements Basic Authentication for secure access control.
Text Extraction: Utilizes specialized libraries to extract text from various document formats:
pdfplumber for PDF files
python-docx for DOCX files
python-pptx for PowerPoint presentations
Text Summarization: Integrates with a Large Language Model (LLM) to analyze and summarize extracted text, delivering concise and actionable insights.
MongoDB Integration: Uses MongoDB to store metadata and summaries, facilitating efficient data management and retrieval.
Frontend (React):
User Interface: Features a modern and visually appealing design with 3D card effects and smooth transitions, enhancing user interaction and engagement.
File Upload Form: Provides an intuitive interface for file uploads with real-time feedback and progress indicators. Includes error handling and user notifications.
File List Management: Displays files in a grid layout with expandable cards. The UI is designed for seamless navigation, incorporating wave-like hover effects and smooth transitions.
Authentication and Navigation: Manages user authentication through context, allowing dynamic navigation and access control. Adapts the navigation menu based on the user's login status.
Achievements:
Efficient File Handling: Supports multiple file formats with rigorous validation and processing, ensuring only valid documents are accepted and processed.
Advanced Text Analysis: Combines text extraction and summarization to provide valuable insights from document contents, enhancing the usability and functionality of the application.
Seamless User Experience: Offers a polished, user-centric interface with responsive design, real-time feedback, and engaging animations, ensuring a smooth and enjoyable user experience.
Secure and Scalable: Implements secure authentication mechanisms and leverages MongoDB for scalable, reliable data storage and management.
Technologies Used:
Backend: FastAPI, MongoDB, Text Extraction Libraries (pdfplumber, python-docx, python-pptx), Large Language Model (LLM)
Frontend: React, Axios, CSS (for styling and animations), react-toastify (for notifications)