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@article{177270,
        author = {Pooja Gawas and Manasi Motibone and Ranjana Singh},
        title = {VOICE ASSISTANT FOR VISUALLY IMPAIRED},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1449-1451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177270},
        abstract = {This paper introduces VAVI, a voice-controlled virtual assistant tailored specifically for the visually impaired population. VAVI is an inclusive AI solution designed to help users interact with their environment and digital content through voice and auditory feedback. It integrates advanced features like speech recognition, object detection, face identification, and real-time information retrieval. Built using Python and leveraging libraries such as OpenCV and Speech Recognition, it functions seamlessly on low-cost hardware and operates offline for most tasks. VIVA bridges the digital divide, empowering users by enhancing their ability to perform everyday tasks independently, thus fostering digital inclusivity.},
        keywords = {Voice Assistant, Visually Impaired, Artificial Intelligence, Speech Recognition, Computer Vision, Accessibility},
        month = {May},
        }