This project develops a Sign Language Detection system to bridge the communication gap between hearing individuals and the deaf or hard-of-hearing community. Using machine learning and computer vision, the system detects and classifies American Sign Language (ASL) signs in real time, promoting accessibility.
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This project develops a Sign Language Detection system to bridge the communication gap between hearing individuals and the deaf or hard-of-hearing community. Using machine learning and computer vision, the system detects and classifies American Sign Language (ASL) signs in real time, promoting accessibility.
MohamedBayomey/Sign-language-detection
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This project develops a Sign Language Detection system to bridge the communication gap between hearing individuals and the deaf or hard-of-hearing community. Using machine learning and computer vision, the system detects and classifies American Sign Language (ASL) signs in real time, promoting accessibility.
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