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@article{175380,
        author = {Divyesh Boddu and Aman yadav and Mrinal gaikwad and Pratyush Urade},
        title = {CUISINE PATH: A Technological Revolution in Culinary Exploration},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2733-2739},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175380},
        abstract = {Cuisine path is an ai-powered platform that uses vision transformers and computer vision to revolutionize meal discovery in order to properly categorize meals and extract constituent specifics for individualized dietary insights it analyses food photos it allows for real-time food recognition and provides accurate nutritional breakdowns to assist users in making well- informed meal choices in contrast to standard food databases a system that responds to queries about food and makes recipe recommendations based on dietary requirements and available components is another interactive feature of the platform having been trained using deep learning models it offers precise situation-specific recommendations by integrating location-based resources through API’s cuisine path assists customers in finding eateries in their area that provide specific dishes.},
        keywords = {Computer Vision, Food Recognition, Nutrition Analysis, AI in Culinary, Vision Transformer.},
        month = {April},
        }