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Sign Language Translator
Author Name : Dr. S. R. Patil, Aishwarya Tirakannavar, Prerana Mantri, Prajwal Angadi, Rishi Isaraddi
ABSTRACT The project focuses on developing an innovative sign language translator that utilizes advanced machine learning techniques to convert sign language gestures into text and speech in real time. By integrating computer vision and deep learning algorithms, the system aims to enhance communication accessibility for the deaf and hard-of-hearing community. This research explores various methodologies and technologies, including pose estimation and gesture recognition, to accurately interpret sign language movements. The proposed solution not only aims to bridge the communication gap but also seeks to provide a user-friendly interface for seamless interaction