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Sign-Text-Speech bridges communication gaps by converting sign language into text, speech into text, and text into speech, making communication more accessible and inclusive.
This project enables real-time recognition of hand gestures (A-Z, 0-9) using OpenCV, MediaPipe, and a trained LSTM model in TensorFlow/Keras. It recognize gestures live from a webcam feed.
