Sign Language Recognition System Using Deep Learning

Deafness and mutism tend to place those individuals in the limelight owing to their inability to hear or communicate with the outside world, attempting to distinguish them from the rest of society. The communication is mostly done in ASL (American Sign Language) or ISL (Indian Sign Language), with various motions signifying a certain letter, number, or phrase. Not all deaf people utilize sign language; some use hearing aids; nevertheless, few can afford a hearing device. All these issues are addressed by sign language. It is more efficient, simple, and adaptable; hence, the research focuses on creating a system for hand gesture recognition that delivers the message of hope for the entire society and its significance. The goal of this paper is to detect the sign gesture using deep learning and to improve existing systems to attain a efficient software with proficient and prominent software.