2.2 KiB
2.2 KiB
Project Name
🚀 Overview
Brief description of what this project does and why it's useful.
🎯 Key Features
- Feature 1: Description
- Feature 2: Description
- Feature 3: Description
💡 Use Cases
- Use case 1
- Use case 2
- Use case 3
🛠️ Tech Stack
- Backend: Python, FastAPI/Django
- Frontend: React, Next.js, TypeScript
- Database: PostgreSQL/MongoDB
- AI/ML: OLLAMA, LangChain
- DevOps: Docker, AWS
📦 Installation
# Clone the repository
git clone https://github.com/damjansavic/project-name.git
# Navigate to project directory
cd project-name
# Install dependencies
pip install -r requirements.txt
npm install
# Set up environment variables
cp .env.example .env
🚀 Quick Start
# Start the backend
python main.py
# Start the frontend (in another terminal)
npm run dev
📊 Performance
- Response Time: < 100ms
- Throughput: 1000+ requests/second
- Uptime: 99.9%
🔧 Configuration
Key configuration options:
# config.py
DATABASE_URL = "postgresql://..."
OLLAMA_MODEL = "llama2"
API_KEY = "your-api-key"
📱 API Documentation
API documentation is available at /docs when running the application.
Example Request
curl -X POST "http://localhost:8000/api/v1/process" \
-H "Content-Type: application/json" \
-d '{"data": "example"}'
🧪 Testing
# Run tests
pytest
# Run with coverage
pytest --cov=app tests/
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
👨💻 Author
Damjan Savić
- Website: damjan-savic.com
- LinkedIn: @damjansavic
- GitHub: @damjansavic
⭐️ If you find this project useful, please consider giving it a star!