talfig/Sign-Language-Recognition
Sign language recognition system using MobileNetV2 architecture and MediaPipe, accurately translating video inputs and live camera feeds into defined sign language with OpenCV.
This tool helps individuals and organizations translate sign language gestures into text in real-time. By capturing video from a camera or file, it identifies hand movements and outputs the corresponding sign. It is designed for anyone needing to interpret or learn sign language, such as educators, communication specialists, or family members.
Use this if you need an accurate system to automatically translate live sign language into readable text, either for communication or learning purposes.
Not ideal if you require translation of a sign language other than the one it was trained on (e.g., specific regional variations) or need to interpret facial expressions and body language in addition to hand gestures.
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18
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5
Language
Jupyter Notebook
License
AGPL-3.0
Category
Last pushed
Oct 25, 2025
Commits (30d)
0
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