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Sign Language Translator enables the hearing impaired user to communicate efficiently in sign language, and the application will translate the same into text/speech.
The user has to train the model, by recording its own sign language gestures. Internally it uses MobileNet and KNN classifier to classify the gestures. The user also has the privilege to save the model, upload a pre-trained model, and record gestures while speaking to other people.
It also consists tutorial's page containing 100+ most commonly used phrases , alphabets , etc and a practice page to practice alphabets signs against a deep learning model.
