Leveraging Natural Language Processing for Real-time Sign Language Interpretation

Abstract

This innovative initiative reshapes communication dynamics for people with hearing impairments by seamlessly fusing cutting-edge real-time picture recognition with natural language processing (NLP). The main goal is to provide accurate, real-time sign language gesture translation to close the communication gap that exists between the hearing and deaf communities. The technology uses cutting-edge computer vision to reliably recognise and decipher dynamic sign language gestures from real-time video streams. The system's capabilities are improved by natural language processing algorithms, which generate coherent spoken language output based on gesture recognition. This innovative technology promotes inclusion by enabling smooth communication between spoken language users and sign language users. Real-time translation of sign language into spoken English has significant ramifications for a variety of fields, including education and healthcare, as it offers more accurate and efficient communication. In the end, this initiative serves as a catalyst for constructive social change by advancing equality and accessibility via the integration of cutting-edge technology.