Real-time ASL recognition system using MediaPipe hand tracking and neural networks. Achieves 92% accuracy with 99% reduced input dimensionality through skeletal coordinate analysis. Real-time Hand ...
Real-time Hand Sign Language Detection System using Teachable Machine, TensorFlow, OpenCV, and CVZone. Recognizes ASL alphabet gestures (A–Z) through webcam-based hand tracking and deep learning.
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