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A Python ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
SignSync is a sign-language translation system I built to support both Indian Sign Language (ISL) and American Sign Language (ASL). I used MediaPipe for gesture tracking and integrated NLP and deep learning models to convert signs into speech and text. The system achieved around 82% accuracy in translation.
General Assembly Data Science Immersive (GA-DSI) Capstone Project - American Sign Language (ASL) Letter Detector using Computer Vision and Machine Learning run in a Streamlit App.