I-SHARA is an innovative sign language recognition system that transforms visual hand gestures into text, bridging communication gaps between sign language users and others. Using advanced image processing and machine learning techniques in MATLAB, the system captures, analyzes, and interprets American Sign Language (ASL) gestures.
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I-SHARA is an innovative sign language recognition system that transforms visual hand gestures into text, bridging communication gaps between sign language users and others. Using advanced image processing and machine learning techniques in MATLAB, the system captures, analyzes, and interprets American Sign Language (ASL) gestures.
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I-SHARA is an innovative sign language recognition system that transforms visual hand gestures into text, bridging communication gaps between sign language users and others. Using advanced image processing and machine learning techniques in MATLAB, the system captures, analyzes, and interprets American Sign Language (ASL) gestures.
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