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@article{205446,
        author = {Mrs. Archana V R and Mr. Prajwala Gowda P Patil and Mr. Venkateshwara N},
        title = {SnapSense AI: An Inclusive Image Captioning and Text-to-Speech System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {7498-7502},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205446},
        abstract = {SnapSense AI is a multimodal system that combines computer vision and Text-to-Speech (TTS) technology to improve accessibility for visually impaired users. The system automatically generates meaningful captions for images and converts them into spoken output, enabling users to understand visual content through audio. By integrating image recognition and natural language processing, SnapSense AI bridges the gap between visual data and human understanding. The generated captions are processed into speech, making digital content more accessible and user-friendly. This approach enhances human–computer interaction and supports inclusive technology design. The system can be applied in assistive tools, education, and real-time information support, contributing to improved accessibility and smarter interaction with visual media.},
        keywords = {Accessibility, Computer Vision, Deep Learning, Image Captioning, Natural Language Processing, Text-to-Speech (TTS), Visual Assistance, Visually Impaired Users},
        month = {June},
        }