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![GitHub contributors](https://img.shields.io/github/contributors/harshbg/Sign-Language-Interpreter-using-Deep-Learning.svg)
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![Language]https://img.shields.io/github/languages/top/harshbg/Sign-Language-Interpreter-using-Deep-Learning.svg
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[![GitHub](https://img.shields.io/github/license/harshbg/Sign-Language-Interpreter-using-Deep-Learning.svg)](https://choosealicense.com/licenses/mit)
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[![HitCount](http://hits.dwyl.io/harshbg/Sign-Language-Interpreter-using-Deep-Learning.svg)](http://hits.dwyl.io/harshbg/Sign-Language-Interpreter-using-Deep-Learning)
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# Sign Language Interpreter using Deep Learning
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> A sign language interpreter using live video feed from the camera.
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The project was completed in 24 hours as part of HackUNT-19, the University of North Texas's annual Hackathon. You can view the project demo on [YouTube](http://bit.ly/30xYgT8).
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<a href="http://bit.ly/2uOIUeo" target="_blank">LinkedIn</a>, or
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<a href="http://bit.ly/2CZv1i5" target="_blank">Twitter</a>.
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My other projects can be found [here](http://bit.ly/2UlyFgC).
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[![HitCount](https://img.shields.io/github/followers/harshbg.svg?style=social)](http://hits.dwyl.io/harshbg/Sign-Language-Interpreter-using-Deep-Learning)

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