A powerful application that extracts requirements from PDF documents using AI, with a modern web interface built with Next.js.

requirements-extractor/
├── frontend/           # Next.js frontend application
│   ├── src/           # Source code
│   ├── public/        # Static assets
│   └── package.json   # Frontend dependencies
├── backend/           # Python backend application
│   ├── src/          # Source code
│   └── requirements.txt # Backend dependencies
└── README.md         # This file

• PDF Requirements Extraction: Upload PDF documents and extract requirements using AI
• Markdown Export: View extracted requirements in a beautiful markdown format
• Word Document Export: Download requirements as a formatted Word document
• Modern UI: Clean and intuitive interface built with Next.js and Tailwind CSS
• Dark Mode Support: Seamless dark/light mode switching
• Responsive Design: Works perfectly on all device sizes

• Node.js 18.x or later
• Python 3.8 or later
• Git

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

The frontend will be available at http://localhost:3000

1. Navigate to the backend directory:

   cd backend

2. Create and activate a virtual environment (recommended):

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

3. Install dependencies:

   pip install -r requirements.txt

4. Start the backend server:

   python src/main.py

The backend API will be available at http://localhost:8000

1. Open your browser and navigate to http://localhost:3000
2. Click the "Extract Requirements" button
3. Upload your PDF document
4. Wait for the extraction process to complete
5. View the extracted requirements in the markdown viewer
6. Optionally download the requirements as a Word document

• Built with Next.js 14
• Uses Tailwind CSS for styling
• TypeScript for type safety
• React Markdown for markdown rendering
• Docx.js for Word document generation

• FastAPI for the REST API
• PyPDF2 for PDF processing
• Custom AI model for requirements extraction

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request