A real-time hand tracking project using OpenCV and MediaPipe that enables users to control their computer with simple hand gestures. This project supports mouse movement, clicking, scrolling, and more — creating a smooth, touch-free interaction system.
- 🎯 Real-time hand & finger landmark detection
- 🖱️ Mouse movement with index finger
- 👆 Left & right click using gestures
- 📜 Scroll up/down with hand signs
- 📸 Take screenshots using gestures
- ⚡ Smooth & responsive tracking
- Python 3.8+
- OpenCV – Computer vision library
- MediaPipe – Hand landmark detection
- Autopy – Mouse/keyboard control
├── module.py # Hand tracking module (class + utility functions)
├── script.py # Main script for gesture control
├── requirements.txt # Dependencies
└── README.md # Project documentation
git clone https://github.com/yourusername/hand-gesture-control.git
cd hand-gesture-controlpip install -r requirements.txtpython script.py| Gesture | Action |
|---|---|
| ✋ Index finger up | Move mouse |
| ☝ Index + Middle finger | Left click |
| ✌ Fingers apart | Right click |
| ✊ Fist close | Scroll down |
| 🖐 Palm open | Scroll up |
| 🤞 Pinch | Take screenshot |
- Add more custom gestures (drag & drop, volume control, app switching)
- Integrate AI/ML models for smarter recognition
- Package as a cross-platform desktop app
Developed by [Sachin Kushwaha] 🚀
Feel free to fork, star ⭐, and contribute!