ABSTRACT
People who are deprived of vocal communication or unable to apprehend speech face issues while interacting with people. To overcome this barrier the sign language came into existence. Sign language is different for different regions, Indians developed the Indian Sign Language (ISL). A lot of research has been conducted in the field of American Sign Language (ASL) and very less on Indian Sign Language. A probable reason for this may be the use of both hands in ISL usually increases the complexity of the solution offered technologically. Here we have proposed a methodology which is feasible and easily affordable by the users and completely based on ISL data. There is no requirement of sensory gloves. As an attempt to avoid the communication barrier we ought to present a solution combining the ISL based expert systems such as 3D avatar that can perform sign actions also inculcating a feature to recognize hand gestures from A-Z in ISL using deep learning. These disruptive systems can be utilized to spread the awareness of how important it is for normal people to know sign language to help people to understand each other better.
