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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.\n\n#### 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.  \n\n\u003ch2\u003eTrain Your Own Sign Language\u003c/h2\u003e\n\u003cbr\u003e\n\n\u003cimg src=\"./docs/Videos/training-demo.gif\" alt=\"#\" width=\"700px\" height=\"350px\"\u003e\n\u003cbr\u003e\u003chr\u003e\n\n\u003ch2\u003ePractice Your Alphabet Sign Language (ASL)\u003c/h2\u003e\n\n\u003cimg src=\"./docs/Videos/SLT-Practice-GIF.gif\" alt=\"#\" width=\"700px\" height=\"350px\"\u003e\n\n\u003cbr\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felysian01%2Fsign-language-translator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felysian01%2Fsign-language-translator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felysian01%2Fsign-language-translator/lists"}