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@article{159250,
        author = {Prajna Shetty and Martina D'souza and Mitesh Rege and Shivam Mishra},
        title = {Food Recipe Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {727-732},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159250},
        abstract = {Everyone appreciates food in this world. The most important thing for humans to survive is food. Yet, not every person can consume food or consume the components used to prepare it. It’s crucial to understand the food’s ingredients and cooking process. This food recipe recommendation aids in understanding the ingredients and preparation techniques for the dish. This makes it easier for folks to understand a recipe’s ingredients and preparation time. The three transfer learning models, Xception, InceptionResNetV2, and InceptionV3, were fine-tuned and implemented for image classification. Indian Food Image is the dataset that was used in this. A training accuracy of 99.58% and testing accuracy of 88.9% was attained.},
        keywords = {Transfer learning, Image Classification, Incep- tionV3},
        month = {},
        }