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hand-gesture-recognition

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🎮 Production-ready real-time Rock-Paper-Scissors gesture recognition system using MediaPipe & OpenCV. Features: instant hand tracking (30+ FPS), 95% accuracy, fuzzy matching, TDD methodology with 95% test coverage. Bilingual (EN/繁中). Perfect for CV learning & interactive apps.

  • Updated Oct 1, 2025
  • Python

🖐 An implementation of a machine learning model for detecting and recognizing hand signs (0-5) accurately using Python. The project pipeline involves the following modules: Preprocessing, Feature Extraction, Model selection and training, and finally performance analysis.

  • Updated Oct 5, 2023
  • Python

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