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CarolDsillva / repository
This is a python project capable of recognizing and converting Indian Sign Language into words in real-time. The project uses a model that has been trained on a dataset of sign language gestures to recognize and interpret the gestures made by the user.
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This project implements an Indian Sign Language (ISL) detection system using OpenCV and deep learning. The system captures hand gestures via a webcam, processes them using a hand-tracking module, and classifies the detected gestures using a trained deep learning model.
The model has been trained using TensorFlow and Keras, leveraging a sequential architecture optimized for sign language classification.
Feel free to contribute and improve this project!
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