Enhancing the Ability to Communicate by Synthesizing American Sign Language using Image Recognition in A Chatbot for Differently Abled

Sign Language is a mode of communication for differently abled persons –Mute (Dumb). Sign language is the hand gestures used by people to communicate. American Sign Language is the most widely used Sign language which has its own syntax and rules and by following these rules and syntax, mute people can communicate. We have used image recognition to recognize the hand gestures. Detection of hand motions and processing of finger movement to identify what the mute person is communicating. Computer vision in python recognizes the hand gestures of a mute person and gives its output to a chatbot. Chatbot is a computer program which conducts a conversation via voice recognition. Such programs are often designed to convincingly simulate to help human beings with different tasks. This paper presents image recognition of Sign Language through hand gestures and integrate it with chatbot and gives us an audio as well as text output.