Contributed to a vision-driven accessibility tool translating sign language into text
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Updated
Sep 26, 2025 - Python
Contributed to a vision-driven accessibility tool translating sign language into text
A real-time Indian Sign Language (ISL) recognition system powered by a Swin3D + BiLSTM deep learning pipeline, served via a Flask API and paired with a Flutter mobile app.
🤟 Enhance sign language interpretation using transfer learning and multimodal features for accurate gesture recognition and robust evaluation methods.
The project uses YOLOv5 for real-time hand gesture detection in videos, converting gestures into corresponding sign language text. It helps the hearing-impaired by translating sign language into a digital format using computer vision techniques, improving accessibility and communication.
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