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Sanket App    Template

Sanket App is an which is useful for deaf and dumb people to communicate with normal person


It is hard for most people who are not familiar with a sign language to communicate without an interpreter.
Thus, a system that transcribes symbols in sign languages into plain text can help with real-time communication, and it may also provide interactive training for people to learn a sign language. A sign language uses manual communication and body language to convey meaning.

The main objective is to translate sign language to text. The framework provides a helping-hand for speech-impaired to communicate with the rest of the world using sign language.

This leads to the elimination of the middle person who generally acts as a medium of translation. This would contain a user-friendly environment for the user by providing text output for a sign gesture input.
The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done on a completely different set of data. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN). An attempt is made to increase the accuracy of the CNN model by pre-training it on the Image net dataset.

 

 

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