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@article{191792,
        author = {Chhavi Jadon and Deepanshi and Muskan Mahlawat},
        title = {Sign Language Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {127-130},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191792},
        abstract = {Sign language prediction involves using advanced computational methods to recognize and translate sign language gestures into textual or verbal communication. This research aims to explore the technological advancements in sign language prediction, the methodologies employed, and the challenges faced. By leveraging machine learning, computer vision, and natural language processing, sign language prediction systems aim to bridge communication gaps between hearing-impaired individuals and the broader population. This paper outlines the current state of research, practical applications, and future directions in the field.},
        keywords = {Sign Language Prediction, Gesture Recognition, Machine Learning, Computer Vision, Assistive Technology, Accessibility},
        month = {},
        }