AI Document Q&A System 📚

A modern, intelligent document analyzer powered by Claude AI and FastAPI. Upload PDF documents and ask natural language questions to get AI-powered answers based on your document content.

✨ Features

• PDF Upload: Drag-and-drop interface for uploading PDF documents
• Smart Q&A: Ask questions and get intelligent answers based on document content
• RAG System: Uses Retrieval-Augmented Generation with TF-IDF for relevant chunk selection
• Multiple Documents: Manage and query across multiple uploaded documents
• Real-time Processing: Fast responses powered by Claude 3.5 Sonnet
• Beautiful UI: Modern, responsive web interface with gradient design
• RESTful API: Clean API endpoints for integration

🚀 Tech Stack

• Backend: FastAPI (Python)
• AI: Anthropic Claude API (Claude 3.5 Sonnet)
• Vector Search: scikit-learn TF-IDF for semantic search
• PDF Processing: PyPDF2
• Frontend: HTML5, CSS3, Vanilla JavaScript
• Deployment: Vercel

📁 Project Structure

ai-doc-qa/
├── main.py                 # FastAPI application & API routes
├── static/
│   └── index.html         # Web UI (beautiful responsive interface)
├── requirements.txt        # Python dependencies
├── .env.example           # Environment variables template
├── vercel.json            # Vercel deployment configuration
├── .gitignore             # Git ignore rules
└── README.md              # This file

🏃 Getting Started

Prerequisites

• Python 3.8+
• pip
• Anthropic API key (get from console.anthropic.com)

Local Setup

1. Create virtual environment

   python -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate

2. Install dependencies

   pip install -r requirements.txt

3. Set up environment

   cp .env.example .env
   # Edit .env and add your ANTHROPIC_API_KEY

4. Run locally

   uvicorn main:app --reload

5. Visit http://localhost:8000

🤖 Recent AI Trends Demonstrated

• Retrieval-Augmented Generation (RAG)
• Claude 3.5 Sonnet Integration
• Semantic Search with TF-IDF
• Real-time AI Responses
• Multi-Document Processing

🚀 Deploy on Vercel

1. Push to GitHub
2. Visit vercel.com and import the repository
3. Add ANTHROPIC_API_KEY environment variable
4. Deploy!

📄 License

MIT License