Silent Voice -The Sign Language Recognition Android Application Using Machine Learning Algorithm
Authors:-Ms Mitali Pawar, Dr. Jasbir Kaur, Assistant Professor Ms.Sandhya Thakkar
Abstract-Sign language is an essential communication tool for people with speech and hearing impairments.”[4] The creation of an Android application for sign language recognition using machine learning methods is presented in this study. The program facilitates communication between sign language users and non-sign language users by using OpenCV and a machine learning model to process images and transform hand gestures into text. Real-time alphabetic sign recognition from live video input is possible with the suggested approach. The application guarantees effective gesture detection with low resource consumption by using TensorFlow Lite for model inference on mobile devices, which makes it appropriate for Android devices with low processing power. The system’s user-friendly interface facilitates quick and precise translations between sign language and other languages, encouraging inclusion and assisting in the removal of barriers to communication.
