A powerful AI-driven platform for intelligent automation and decision making.
- 🤖 Advanced AI Models Integration
- 🔒 Robust Security & Authentication
- 📊 Real-time Monitoring & Analytics
- 🧪 Comprehensive Testing Suite
- 🔍 Ethical AI Compliance
- 📈 Performance Optimization
- Python 3.8 or higher
- Git
- Docker (optional)
- PostgreSQL (optional, can use Docker)
- Redis (optional, can use Docker)
-
Clone the repository:
git clone https://github.com/Cameroon-Developer-Network/amega-ai.git cd amega-ai -
Set up the environment:
# Using the setup script (recommended) ./scripts/setup_venv.sh # Or manually: python3 -m venv venv source venv/bin/activate # On Windows: .\venv\Scripts\activate pip install --upgrade pip pip install -r requirements.txt
-
Configure environment variables:
cp .env.example .env # Edit .env with your configuration -
Initialize the database:
python scripts/init_db.py
-
Run the development server:
uvicorn src.amega_ai.main:app --reload
amega-ai/
├── backend/ # Backend server implementation
│ ├── api/ # API endpoints
│ ├── core/ # Core business logic
│ └── models/ # Database models
├── frontend/ # Frontend application
├── cli/ # Command-line interface tools
├── docs/ # Documentation
│ ├── api/ # API documentation
│ └── guides/ # User and developer guides
├── scripts/ # Utility scripts
├── security/ # Security-related components
├── src/ # Source code
│ └── amega_ai/ # Main package
├── tests/ # Test suites
│ ├── unit/ # Unit tests
│ └── e2e/ # End-to-end tests
├── .env.example # Environment variables template
├── .gitignore # Git ignore rules
├── CHANGELOG.md # Version history
├── CONTRIBUTING.md # Contribution guidelines
├── LICENSE # License information
├── README.md # Project documentation
└── requirements.txt # Python dependencies
# Run all tests
pytest
# Run with coverage
pytest --cov=src/
# Run specific test category
pytest tests/unit/
pytest tests/e2e/- Create a new branch from
develop - Make your changes
- Run tests and linting
- Submit a pull request
- Wait for review and CI checks
# Production deployment
./scripts/deploy.sh production
# Staging deployment
./scripts/deploy.sh staging- Access Grafana dashboard:
http://localhost:3000 - View API documentation:
http://localhost:8000/docs - Check monitoring metrics:
http://localhost:8000/metrics
Please read our Contributing Guidelines before submitting a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
- All contributors who have helped with code, documentation, and testing
- The open-source community for the amazing tools and libraries
- Create an issue for bug reports or feature requests
- Join our Discord community for discussions
- Email us at camdev237@gmail.com for other inquiries