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Hand Gesture Recognition with MediaPipe and OpenCV

This project uses MediaPipe Hands and OpenCV to detect and track hand landmarks in real-time using your webcam. By recognizing hand gestures, you can build custom controls to perform various tasks, such as shutting down your computer or triggering frequently used shortcuts — all through intuitive hand movements.

Features

  • Real-time hand tracking using MediaPipe.
  • Visualizes hand landmarks and connections.
  • Can be extended to recognize specific gestures for custom commands.

Dependencies

Make sure you have Python installed (preferably 3.7+), then install the following packages:

pip install opencv-python mediapipe

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