Sign Language Translator by Using Arduino

Abstract

The sign language translator is on innovation system designed to bridge the communication gap between individuals who are deaf or hard of hearing and those who are no proficient in sign language. This project leverages computer vision and machine learning techniques to interrupt and translator sign language gestures into text making communication seamless and more inclusive. By capturing real time hand movement via the sensors, the system processes the gesture using advanced algorithm, mapping them to a predefined set of sign in the target language. The output can then be displayed as a text on LCD, allowing for immediate interaction. The system aims to provide a practical tool for daily communication, education, health care, enhancing accessibility for thief and hard of hearing community. This project also express the integration of nature language processing to improve accuracy and user experience, ultimately contributing to the development of assistive technologies for more inclusive societies.