harshbg/Sign-Language-Interpreter-using-Deep-Learning
A real-time sign language interpreter that uses a CNN trained on TensorFlow/Keras to recognize hand gestures from webcam input.
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This project recognizes sign language gestures from live video using a convolutional neural network. Built with TensorFlow, Keras, and OpenCV, it captures webcam frames, processes them through a CNN classifier, and outputs predicted letters to enable real-time translation for deaf individuals. The model was developed during a 24-hour hackathon focused on accessibility solutions.