Doodle Recognition using machine learning for hearing and speech-impaired people

Abstract

In this paper, we test the different classifiers used in machine learning and compare the different accuracies for the doodles which are obtained from Google's Quick Draw Dataset. The classifier with the best accuracy can be fed into an application for the hearing and speech impaired people through which the can be trained to draw their immediate needs, and the machine learning model could classify it into the correct category, so it would be easy for the people nearby to help them.