ASSISTIVE COMMUNICATION SYSTEM FOR DEAF AND DUMB PEOPLE

The Assistive Communication System for Deaf and Dumb People using Machine Learning and a Single Board Computer (SBC) is designed to enable effective communication for individuals with hearing and speech impairments. The system captures hand gestures or sign language using a camera and processes the input on the SBC. Machine learning algorithms recognize the gestures and convert them into readable text or voice output in real time. The system can also support speech-to-text conversion to allow two-way communication. This project uses an SBC, camera module, machine learning models, display or audio modules, and embedded programming, making it suitable for assistive technology and inclusive communication applications.