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@article{196503,
        author = {Pegetraju Sai Jostna Manaswini and T. Durga and Alluri Janani Sahasra and Pericherla Shriya and Peddapatlolla Sahithi},
        title = {Data-Driven Smart Food Analytics and Nutrition Advisor},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4616-4624},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196503},
        abstract = {People who want to live healthy should track their daily food consumption according to expert recommendations. The existing applications require users to enter data manually which causes them to repeat tasks until they lose interest. The project develops a Data-Driven Smart Food Analytics and Nutrition Advisor which assists users in their dietary analysis work while delivering better quality dietary information. The system uses the Google Gemini API to handle both image and text input which enables automatic food item detection and nu¬tritional value estimation without users needing to enter detailed information. The system needs to track user behavior through food consumption analysis instead of just determining the total calories they consume. The system analyzes collected data to discover patterns and assess dietary completeness while generating customized recommendations based on user preferences and health objectives. The system uses MongoDB Atlas to control all data storage which allows efficient user record management and system expansion. The system uses a visual dashboard to present information which shows patterns that develop over time through user-friendly graphical elements. The system helps users improve their food selection through meal evaluation and intake alert features which present information in an understandable format. The proposed method changes how we track diets, moving from a manual process to an automated system that provides useful information. The system promotes regular usage through its combination of multimodal input processing and cloud storage and visual analytics capabilities which help users make healthier choices throughout their everyday activities.},
        keywords = {Nutrition Monitoring, Multimodal Input, Google Gemini API, Calorie Estimation, Data Visualization, MongoDB Atlas, Dietary Insights},
        month = {April},
        }