Real-Time Communication System for Specially Abled with DL-CNN Based Approach Using Image Processing

People get to know one another by sharing their ideas, thoughts, and experiences with those in their immediate surroundings. There are numerous methods for accomplishing this, the most effective of which is the gift of “Speech.” Speech enables all people to communicate their ideas effectively and to comprehend one another. It will be unfair if we fail to take into consideration those who are denied this priceless gift: the dumb and deaf. The preferred method of communication in these situations has continued to be human hand contact. Things that have been first challenging or unattainable for people with disabilities are now regularly available to them and can be accessed by them with ease. Artificial intelligence made it possible for people with disabilities to live in a society where their challenges are acknowledged and taken into account (AI). Technological advancements have made it possible for technology to adjust and transform the world into a more open community. There is a certain sense of being human as AI directly correlates individuals, including people with and without impairments. hearing voice in the preferred language so that a message can be delivered it to normal people to build a model that is trained on various hand motions we are using a convolution neural network and deep learning on the basis of this model an app is created with the help of this app person who is deaf or dumb can communicate using postures that are translated into speech and human-understandable words