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@article{196695,
        author = {Dr. MK Jayanthi Kannan and Shobhit Kumar and Gaurav Singh Parihar and Sameer Thakur and Abhishek Raj},
        title = {AAHAR: A Secure, AI‑Enhanced Personalized Nutrition and Health Analytics Platform for Lifestyle Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6210-6219},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196695},
        abstract = {Aahar is a secure full-stack platform designed for personalized nutrition and health analysis. It allows authenticated users to manage their health profiles, upload medical reports, and track important body metrics such as BMI and maintenance calories. Based on the collected information, the system generates customized meal recommendations that align with the user’s goals and preferences. By combining a user-friendly front end with backend services for authentication and data storage, Aahar creates a smooth and structured workflow from health-data entry to nutrition planning. The platform is modular and scalable, making it suitable for future enhancements and additional features. It also supports report-based analysis to help users make food choices that are better aligned with their clinical conditions. Overall, Aahar bridges clinical health data with everyday dietary decisions to support better lifestyle management.},
        keywords = {},
        month = {April},
        }