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[![Contributors][contributors-shield]]()
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[![MIT License][license-shield]][license-url]
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[![LinkedIn][linkedin-shield]][linkedin-url]
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![GitHub contributors](https://img.shields.io/github/contributors/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://www.youtube.com/watch?v=gHdYEZA50KE)
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[build-shield]: https://img.shields.io/badge/build-passing-brightgreen.svg?style=flat-square
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[contributors-shield]: https://img.shields.io/github/contributors/harshbg/Sign-Language-Interpreter-using-Deep-Learning.svg
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[license-shield]: https://img.shields.io/github/license/harshbg/Sign-Language-Interpreter-using-Deep-Learning.svg
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[license-url]: https://choosealicense.com/licenses/mit
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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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# 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/2Iaz2UK).

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