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@article{164605,
        author = {Tanzila Sheikh and Neha Petkar and Achal amrutkar},
        title = {Gesture language translator},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2552-2556},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164605},
        abstract = {The abstract of a gesture language translator could highlight its purpose, methodology, and potential impact. It might discuss how the translator converts gestures into understandable language, its accuracy, and its potential to bridge communication gaps for people who use sign languages or other forms of non-verbal communication. Additionally, it could touch upon the technological advancements or innovations driving its development and its significance in promoting inclusivity and accessibility. The abstract of a gesture language translator outlines its core functionalities and significance. This translator serves as a pivotal bridge between individuals who communicate primarily through gestures and those reliant on verbal language. Leveraging advanced machine learning algorithms, it accurately interprets a wide array of gestures into comprehensible spoken or written language in real-time. Its development underscores a commitment to fostering inclusivity and accessibility, empowering diverse communities to engage seamlessly in everyday interactions and beyond.},
        keywords = {},
        month = {},
        }