APPLICATION OF SIGN LANGUAGE RECOGNITION USING MACHINE LEARNING

Many persons with illnesses including those that render them dumb, deaf, or blind are seen daily. Interacting with people is tough for them. Sensor-based approaches that have been previously developed all failed to provide the overall answer. The proposed project's main objective is to develop a system that employs machine learning to give voiceless communication through a system that is both affordable and effective. The recommended technique translates sign language into text by utilizing OpenCV and CNN. There will be easier communication between the two groups as a result.