AI Document Generation System

An intelligent system that processes business requirement documents and generates comprehensive technical documentation using AI-powered analysis.

Live @streamlit PPA

Features

• Document processing support for multiple formats (PDF, DOCX, TXT)
• AI-powered analysis using Groq LLM:
  • Requirements analysis
  • Technical specifications generation
  • Architecture recommendations
• Automated project planning and task breakdown
• Detailed cost estimation including:
  • Labor costs with complexity factors
  • Infrastructure costs
  • License costs
• Interactive web interface using Streamlit
• JSON-formatted outputs for all analyses
• Downloadable consolidated reports

Setup

1. Clone the repository
2. Create a virtual environment:

   python -m venv venv
   .\venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Create .env file in the project root:

   GROQ_API_KEY=your_api_key
   

Usage

1. Start the web interface:

   streamlit run app.py

2. Upload your business requirements document
3. The system will automatically:
   • Process the document
   • Analyze requirements
   • Generate technical specifications
   • Suggest architecture
   • Create project plan
   • Calculate cost estimates
4. View results in different tabs
5. Download the complete analysis report

Project Structure

.
├── app.py                    # Main Streamlit application
├── document_processor.py     # Document parsing and processing
├── ai_analysis.py           # AI-powered analysis pipeline
├── project_planner.py       # Project planning logic
├── cost_estimator.py        # Cost estimation engine
├── document_generator.py     # Final document generation
├── groq_client.py           # Groq API integration
└── config.py                # Configuration management

Input Document Support

Supported formats:

• PDF (.pdf)
• Microsoft Word (.docx)
• Text files (.txt)

Output Format

The system generates a comprehensive report including:

• Analyzed requirements
• Technical specifications
• Suggested architecture
• Project timeline and tasks
• Detailed cost breakdown

Cost Estimate Format

{
    "status": "success",
    "cost_breakdown": {
        "labor_costs": {
            "amount": 0.00,
            "currency": "USD"
        },
        "infrastructure_costs": {
            "amount": 0.00,
            "currency": "USD"
        },
        "license_costs": {
            "amount": 0.00,
            "currency": "USD"
        },
        "total_cost": {
            "amount": 0.00,
            "currency": "USD"
        }
    }
}

Requirements

• Python 3.8 or higher
• Groq API key
• Required Python packages (see requirements.txt)

Error Handling

The system includes comprehensive error handling for:

• Invalid document formats
• API failures
• Processing errors
• Invalid input data

License

MIT

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request