Executive Summary Analyzer

A comprehensive web application for analyzing company executive summaries using Large Language Models (LLMs).

Features

• PDF Upload: Drag-and-drop or click to upload PDF documents
• AI-Powered Analysis: Extract key information using OpenAI GPT-4
• Structured Reports: Generate professional investment analysis reports
• Multiple Export Formats: Download reports as HTML or Markdown
• Confidence Scoring: Each extracted field includes confidence scores
• Robust PDF Processing: Handles various PDF formats and layouts

Installation

1. Clone the repository:

git clone <repository-url>
cd executive-summary-analyzer

2. Create a virtual environment:

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

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables:

cp .env.example .env
# Edit .env and add your OpenAI API key

5. Run the application:

python app.py

6. Open your browser and navigate to http://localhost:5000

Configuration

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key (required)
• SECRET_KEY: Flask secret key for session management
• FLASK_ENV: Set to 'development' or 'production'
• HOST: Server host (default: 127.0.0.1)
• PORT: Server port (default: 5000)

API Endpoints

• GET /: Main web interface
• POST /api/analyze: Upload and analyze PDF document
• GET /api/report/<format>/<filename>: Download generated report
• GET /health: Health check endpoint

Project Structure

executive-summary-analyzer/
├── app.py                 # Main application file
├── templates/            
│   └── index.html        # Web interface
├── uploads/              # Temporary file storage
├── reports/              # Generated reports
├── requirements.txt      # Python dependencies
├── .env.example         # Environment variables template
└── README.md            # This file

Usage

1. Open the web interface
2. Upload a PDF executive summary
3. Click "Analyze Document"
4. View the extracted information and generated report
5. Download the report in HTML or Markdown format

Error Handling

The application includes comprehensive error handling for:

• Invalid file types
• PDF extraction failures
• API errors
• Network issues

Security Considerations

• File uploads are validated and sanitized
• Temporary files are cleaned up after processing
• API keys are stored securely in environment variables
• CORS is configured for API endpoints

License

This project is provided as-is for educational and commercial use.