Real-Time Sign Language Translator for Specially Abled

“Advance technologies, such as Mediapipe, Pytorch, and YOLOv5, Nvidia CNN, CUDA toolkit, were used in developing the real-time sign language translator. These technologies were used to create an exactly accurate light-weight model of CNN that achieved a success rate of 95.6%. Using the Nvidia CNN and CUDA toolkit, translation of sign language digital videos in real-time was accomplished with minimal latency by accelerating the processing of CNN model. The solution has been embodied in the form of a virtual camera that will be able to translate sign language into subtitles in any video conferencing platform using OBS software so it can be useful in actual scenarios where speedy and efficient communication between individuals who are deaf or hard to hear and otherwise is needed. Overall, real-time sign language translator can have a tremendous impact on communication and accessibility of the deaf and the hard of hearing people.”