AI-Based Sign Language Recognition System for Deaf and Hard-of-Hearing Individuals
Prof. Swati Gade · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: Sign language is a vital form of communication for the deaf and hard-of-hearing community. The development of sign language recognition systems plays a crucial role in bridging the communication gap between hearing and non-hearing populations. This paper presents a Sign Language Recognition System (SLRS) built using the MediaPipe Hands model and web technologies such as HTML, CSS, and JavaScript. The system utilizes real-time hand tracking and gesture recognition to interpret sign language gestures and provides corresponding textual output. The proposed system demonstrates the potential for accessible and inclusive communication through the integration of machine learning and web-based technologies.