Hand Tracking Using Python, OpenCV, and MediaPipe 📌 Overview This project uses MediaPipe Hands and OpenCV to detect and track hands in real time using a webcam. It draws 21 hand landmarks and connects them for visualization.
✅ Features Real-time hand detection 21 landmark tracking Mirror-effect view Lightweight and fast Cross-platform (Windows/Linux/Mac)
🛠️ Technologies Used Python OpenCV MediaPipe
📸 Output Example Real-time hand tracking with landmarks drawn: ✅ 21 landmarks ✅ Finger joints ✅ Smooth tracking
Installation : pip install -r requirements.txt or install manually: pip install opencv-python mediapipe
Run the Program: python hand_tracking.py Press Q to exit.