Intelligent Gesture Recognition System for Differently Abled Persons Using Deep Learning

Communication is the fundamental channel to share thoughts. As of late the hard of hearing, stupid and visually impaired unfortunate casualties expanded. Since almost totally senseless can't speak with ordinary individual. New situation is the place the idiotic, hard of hearing speak with visually impaired individuals. Signal acknowledgment is the scientific explanation of a human movement by a registering gadget. Gesture based communication give best correspondence stage to the consultation hindered and moronic individual to speak with ordinary individual. The Deaf and dumb use hand motions to convey though dazzle individuals can hear just the voice and correspondence through voice. So change of hand signals to voice yield is the arrangement. So as to draw a stage nearer to these objective applications we use KNN calculation with Deep learning and Tensor flow method. The thoughts comprised of structuring and actualize a framework utilizing man-made brainpower, picture preparing and information mining ideas to accept contribution as hand signals and produce unmistakable yields as content and voice with 95% accuracy and above through proposed work.