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American Sign Language prediction in real time using OpenCV. A certain GUI is also built using Tkinter which can be seen in Sign Language Reader.py file. This project also has the feature to speak the generated text using API for text to speech conversion

Jupyter Notebook 61.82% Python 38.18%
asl-recognizer american-sign-language opencv keras-tensorflow deep-neural-networks

sign-language-reader's Introduction

Sign-Language-Reader

download model at : model (you need to ask for access!)

This project aims to detect american sign language in real time by using a deep learning implementation to classify each hand sign.
A reference to american sign language is given below for comparison to the working real time demo.
ASL


DEMO-1 For words like 'c', 'a' and 'b'

D1


DEMO-2 For words like 'h', 'e' and 'r'

D2

The classificaiton is pretty good in these conditions shown in these demo's but it is important to note that under certain lightining the model fails to classify any hand sign which needs to be addressed in future.

The original dataset reffered is taken from this kaggle link

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