Abstract
The largest issue facing the deaf and dumb community these days is communication with both the general public and fellow deaf and dumb people. Ordinary individuals can learn new information from spoken language, everyday conversations, and surrounding sounds. Individuals who are hard of hearing or deaf do not enjoy this luxury. These people will gain from this approach since it provides a means of communication. The term "assistive technology" describes gadgets that are rehabilitative, adaptive, and made for people with disabilities. This project aims to develop a system that can recognize sign language, bridging the communication gap by enabling those with speech impairments to interact with others who do not. Hand gestures are important because, in contrast to other techniques, they enable people to express their ideas rapidly. The current work aims to recognize signs using an image processing-based gesture recognition module and convert the corresponding speech to text using a text-to-speech synthesizer
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