Abstract: The proposed web application aims to address communication barriers faced by individuals with hearing impairments by converting spoken language into Indian Sign Language (ISL) visuals and vice versa. The system utilizes speech recognition via the Google Speech API, natural language processing (NLP) for text preprocessing, and dictionary-based machine translation to generate ISL visuals, which are displayed as images for real-time communication. Designed specifically for the Deaf community in India, this application empowers users by enabling smoother interactions and reducing social isolation. By promoting inclusivity, this project enhances access to essential services and fosters greater participation in everyday activities for those who rely on ISL
Keywords: Indian Sign Language (ISL), Speech Recognition, Natural Language Processing (NLP), Machine Translation.
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DOI:
10.17148/IJARCCE.2024.13809
