Real-time American Sign Language (ASL) detection system using Deep Learning (29 classes). Built with TensorFlow/Keras and OpenCV.
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Updated
May 28, 2025 - Python
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asl-recognition
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Real-time American Sign Language (ASL) recognition system using PyTorch and MediaPipe. Recognizes 25 common ASL gestures with 76.05% accuracy, optimized for RTX4070 GPUs. Features live webcam recognition, hybrid TCN+LSTM+Transformer architecture, and comprehensive training pipeline.
opencv real-time computer-vision deep-learning accessibility sign-language pytorch transformer lstm landmark-detection gesture-recognition mediapipe temporal-convolutional-networks asl-recognition rtx4070
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Updated
Jul 23, 2025 - Jupyter Notebook
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