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Real time sign language detection

This project uses computer vision and deep learning to recognize sign language gestures in real-time. It translates hand movements into letters or numbers, improving accessibility for the hearing-impaired. The system combines edge feature extraction with a CNN classifier for accurate gesture recognition.

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