Sign Language Recognition: Speech to Gesture

Communication is an essential component of existence. Around 360 million people worldwide suffer from hearing loss, 32 million of them are children, and their lives are not as simple as they may be for human beings without boundaries. People who are hard of hearing or almost deaf find it difficult to use cell phones since they can't get to data anywhere due to a lack of administrators. Because of their hearing impairment, which is an invisible disability, they have difficulty reading and writing, as well as perusing and seeing all data on cell phones. The increase in engagement achieved by hard of hearing children over four years is equivalent to the addition of one year for hearing children. This group of people with disabilities does not have access to any visible text-based info. To provide benefits to those who are deaf or hard of hearing in order to promote their social integration and communication. This project provides a Python-based Sign Language Recognition system capable of identifying speech and converting it to the corresponding gesture.