Deaf-mute humans need to talk with regular human beings for their everyday ordinary. The deaf-mute people use sign language to talk with other humans. However, it is viable simplest for the ones who have passed through unique training to recognize the language. Sign language uses hand gestures and different means of non-verbal behaviours to deliver their supposed meaning. It includes combining hand shapes, orientation and hand actions, hands or body movement, and facial expressions concurrently, to fluidly explicit speaker's thoughts. The project is based on the need of developing an electronic glove that can translate sign language into speech in order to lower the barrier in communication between the mute communities and the normal people. A Wireless electronic gloves is used, which is everyday material driving gloves fitted with flex sensors along with the every finger. Mute human beings can use the gloves to perform hand gesture which can be converted into speech in order that regular humans can apprehend their expressions. Human beings have interaction with each other to deliver their ideas and reviews to the people around them. But this isn't always the case for deaf-mute people. Sign language paves the manner for deaf-mute people to communicate. Through signal language verbal exchange is feasible for a deaf-mute person without the manner of acoustic sounds. Thus, in order to bridge this gap, this project intends to implement a real-time video processing-based speech assistant system for the speech impaired