chengyitang/sitting-posture-recognition
A real-time sitting posture detection system that uses computer vision (MediaPipe Pose) and deep learning to help users maintain good posture. Leveraging TensorFlow/Keras with VGGNet16 architecture, it achieves 97.78% accuracy in posture classification and provides audio alerts when poor posture is detected. Built with Python, OpenCV, and MediaPipe
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