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Sign-Learn Application

Real-Time Sign Language Detection Using YOLO This project uses the YOLO model to detect 36 Indian Sign Language (ISL) gestures in real time from video input. Trained on 3,600 images, it ensures accurate recognition. Built with Python, PyTorch, and OpenCV, it offers fast and reliable performance for assistive and educational applications.

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Real-Time Sign Language Detection Using YOLO This project uses the YOLO model to detect 36 Indian Sign Language (ISL) gestures in real time from video input. Trained on 3,600 images, it ensures accurate recognition. Built with Python, PyTorch, and OpenCV, it offers fast and reliable performance for assistive and educational applications.

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