susilnem/American-sign-Language
A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals
The system combines real-time webcam input with CNN-based gesture recognition to output both written text and synthesized speech translations. It leverages image processing for feature extraction from captured frames and includes a structured database of ASL signs with corresponding translations. The architecture supports model retraining with new data, enabling continuous improvement of recognition accuracy across different signing variations.
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22
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10
Language
Python
License
Apache-2.0
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Last pushed
Sep 14, 2023
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