SIGN LANGUAGE TRANSLATOR

– This work proposes an AI-based sign language translator that aims to establish equal surroundings and enable people with hearing handicaps to communicate in their native language. In order to translate sign language into text, we used a transformer neural network, which can analyse more than 500 data points from a person’s face and motions. Our machine learning pipeline allows the translator to grow, create new datasets, and develop models for sign language recognition. We created a sign language interpreter with over 200 phrases for an emergency call as a proof of concept. Encouraging those with hearing impairments to engage in social, political, economic, and cultural aspects of life is the overarching objective.