Shypd.aiThe largest open index of AI toolsSign-Language-Interpreter-using-Deep-Learning is an open-source deep learning tool that interprets sign language from live video feeds. It was developed during a 24-hour hackathon to improve accessibility for deaf individuals.
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Sign-Language-Interpreter-using-Deep-Learning is an open-source project designed to interpret sign language in real-time using a live video feed from a camera. Developed as part of HackUNT-19, a 24-hour hackathon focused on improving accessibility, the tool aims to provide a personal translator for deaf individuals. It leverages deep learning technologies like TensorFlow and Keras, along with OpenCV for video processing. Users can set hand histograms, create and label gestures, and train a Convolutional Neural Network (CNN) model to recognize American Sign Language (ASL) gestures. The project achieved over 95% prediction accuracy for 44 ASL characters and serves as a foundational application for real-time sign language translation.
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