REAL TIME SIGN LANGUAGE DETECTION

Abstract

To overcome communication barriers between hearing individuals and the deaf community, this paper presents the development of an AI-based application that enables real-time translation of sign language into both speech and text. The system incorporates Convolutional Neural Networks (CNNs) along with MediaPipe for accurate real-time gesture recognition, supported by a user-friendly interface and a feedback mechanism for continuous improvement. The proposed solution enhances accessibility and promotes inclusivity across sectors such as public services, healthcare, and education. Future enhancements aim to expand support for additional sign languages and integrate the system with wearable devices for improved usability and convenience.