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@article{169915,
        author = {Chetna Bahuriya and Afshin Khanam and Aditi Deshmukh and Namira Ali and Prof.Anand Donald},
        title = {Eye for Blind},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2351-2354},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169915},
        abstract = {This paper presents Eye for the Blind, a software-based solution designed to provide real-time visual assistance to visually impaired individuals. The application leverages cutting-edge technologies such as computer vision, deep learning, and natural language processing to detect objects, read text, and identify the surrounding environment through a smartphone camera. The primary goal is to improve the independence and safety of visually impaired users by translating visual information into audio cues. This solution demonstrates a significant step toward empowering blind individuals, offering a practical, portable, and affordable tool for daily tasks.},
        keywords = {},
        month = {November},
        }