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@article{177926,
        author = {NUNAVATH BALAJI NAYAK and DR. K. PADMAJA DEVI and NENAVATH TEJA and NUNSAVATH PAVAN},
        title = {SIGN LANGUAGE RECOGNITION USING DEEP LEARNING APPROACH},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2563-2568},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177926},
        abstract = {This project is about Sign Language Recognition using Deep Learning Approach. Sign language is a method of communication that use hand gestures between people with hearing loss. Each hand sign represent one unique meaning, but several terms don't have sign language, so they have to be spelled alphabetically.
This allows the user to communicate using hand sign postures to recognize different gestures based on signs. The controller of this assistive device is developed to process images of gestures by employing various image processing techniques and deep learning models to recognize the signs.
The proposed system would be a real-time system where live sign gestures are processed using image processing techniques. The system uses deep learning based on a CNN architecture implemented with TensorFlow.},
        keywords = {},
        month = {May},
        }