Sign Language Interpreter

Abstract

Sign language serves as a vital mode of communication for millions of individuals worldwide who are deaf or hard of hearing. However, there exists a significant communication barrier between sign language users and those who do not understand sign language. To address this challenge, this project presents a Sign Language Interpreter, a software solution leveraging real-time image processing techniques.. Keywords — Machine Learning, Real time image processing, Hand tracking, Gesture Recognition, Adaptive learning, MERN development.