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Deaf people face communication challenges in many aspects of their lives. This project proposes a speech-to-sign language converter that can help to bridge the communication gap between deaf and hearing people. The converter would use speech recognition technology to transcribe spoken language into text. This text would then be translated into sign language images or GIFs. The images or GIFs would be displayed on a screen, allowing deaf people to easily understand the message. The converter would be designed to be as accurate and user-friendly as possible. It would also be customizable to support different sign languages. This project has the potential to make a significant impact on the lives of deaf people. It could help them to communicate more effectively in school, at work, and in social settings. It could also help to break down communication barriers and foster greater understanding between deaf and hearing people. The converter would be developed using a variety of technologies, including speech recognition, machine translation, and image processing. The objective of our project is to reduce the communication gap between normal people and disabled people by providing a virtual animation translator for sign language