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# Sign Language Interpreter using Deep Learning
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> Here goes your awesome project description!
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> A live sign language interpreter using live video feed from the camera.
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The project was completed in 24 hours as part of final HackUNT19, the University of North Texas's annual Hackathon.
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## Table of contents
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*[General info](#general-info)
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*[Contact](#contact)
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## General info
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Add more general information about project. What the purpose of the project is? Motivation?
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The theme at HACK UNT 19 was to use technology to improve accessibility by finding a creative solution to benefit the lives of those with disability.
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We wanted to make it easy for 70 million deaf people across the world to be independent of translators for there daily communication needs.
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## Screenshots
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## Technologies and Tools
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*Tech 1 - version 1.0
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*Tech 2 - version 2.0
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*Tech 3 - version 3.0
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*Python - version 3.5
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*TensorFlow
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*Keras
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## Setup
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Describe how to install / setup your local environement / add link to demo version.
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* Wow improvement to be done 2
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## Status
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Project is: _in progress_, _finished_, _no longer continue_ and why?
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## Inspiration
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Project is: _in progress_. Although we did finish the project and make a su and why?
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## Contact
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Created by me and my teammates [Siddharth Oza](https://github.com/siddharthoza), [Ashish Sharma](https://github.com/ashish1993utd), and [Manish Shukla]().
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Created by me and my teammates [Siddharth Oza](https://github.com/siddharthoza), [Ashish Sharma](https://github.com/ashish1993utd), and [Manish Shukla](https://github.com/Manishms18).
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If you loved what you read here and feel like we can collaborate to produce some exciting stuff, or if you
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just want to shoot a question, please feel free to connect with me on <ahref="[email protected]"target="_blank">email</a>,
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