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@article{179578,
        author = {Akshatha N and Amrutha M R and Anusha S K and Arshiya Tasneem and Neelakantappa B B},
        title = {CONVERSION OF SIGN LANGUAGE INTO TEXT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7863-7869},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179578},
        abstract = {The foundation of this elaboration is the development of a dormant framework that effectively translates gesture language in text, improving communication for those who have speech or hearing impairments. In light of the latest developments in computer vision, machine learning, and deep learning, it is advised that the scheme recognize the body language signal in real time. Therefore, this arrangement's main goals are to reduce rejection from other members of their sign language user community and to create the quickest, most dependable, and most efficient method of translating signals into words.},
        keywords = {computer vision, real-time motion recognition, content modification, machine learning, deep learning, and communication assistive technology.},
        month = {May},
        }