Real-Time Marathi Sign Language Translation into Text and Speech Using Hand Gesture Recognition

Abstract

This project aims to create a system that can translate Marathi Sign Language (MSL) into text and speech in real time using hand gesture recognition. Sign language is an essential way of communication for people who are deaf or hard of hearing, but it is not widely understood by everyone. This project helps solve this problem by using technology to recognize and translate hand gestures. The system works by using a camera to capture hand gestures. These gestures are then analyzed by a deep learning model to identify their meaning. The recognized gestures are converted into Marathi text, and this text is further converted into speech using text- to-speech technology. The system is designed to be fast, easy to use, and capable of understanding a wide range of gestures, including those with complex movements. It can also learn and improve over time by adapting to individual user styles. This project helps to make communication easier between sign language users and others, promoting better understanding and inclusivity for the hearing-impaired community in Marathi-speaking areas.