This project uses OpenCV and MediaPipe to detect and classify hand gestures in real-time. The system utilizes computer vision and machine learning-based hand tracking to analyze hand landmarks and classify gestures accurately. Ideal for applications in human-computer interaction, gesture-based control, and sign language interpretation.
☆13Feb 7, 2025Updated last year
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