부산대학교 도서관

Sign Language serves as the only mode of communication for people who are speech and hearing disabled. Despite this, they face many difficulties in communication due to different sign languages across the world using different signs and symbols. This project aims to bridge this gap and make communication easy and accessible for all. Through the utilization of Convolutional Neural Networks (CNN) and other deep learning algorithms, the project provides a platform to people to choose between Indian Sign Language and American Sign Language and further provides translation to multiple Indian regional languages to improve communication between people. This serves a two-way purpose by enabling people who are trained in different sign languages to communicate efficiently as well as providing written text in multiple languages for people who cannot interpret sign language and are proficient only in regional languages. This comprehensive strategy strives to eliminate communication barriers, contributing to a more equitable society. This innovative project has the potential to significantly enhance communication inclusivity and accessibility for the global deaf and hard of hearing community.