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@article{207024,
        author = {Sanika Gunjal and Varsha Patil and Dr. Swapnali P. Waghulde},
        title = {NutriSense AI: A Rule-Based Web Platform for Personalized Nutrition, BMI Analysis, and Exercise Recommender},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {4165-4168},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207024},
        abstract = {These instructions give you guidelines for preparing papers for the International Journal of Innovative Research in Technology (IJIRT). Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at International Journal of Innovative Research in Technology. Define all symbols used in the abstract. Do not cite references in the abstract. Do not delete the blank line immediately above the abstract. Unhealthy dietary habits, physical inactivity, and limited awareness of personalized nutrition have contributed to a rise in lifestyle-related health issues, particularly among students and young adults. This paper presents NutriSense AI, a web-based health analysis and recommendation system that evaluates basic user health data and generates personalized nutrition and exercise suggestions. The system collects user inputs such as age, gender, height, weight, activity level, dietary preference, and self-reported nutritional deficiencies, and applies standard health formulas together with rule-based logic to compute Body Mass Index (BMI) and estimate daily calorie requirements using the Mifflin-St Jeor equation. Based on this analysis, NutriSense AI recommends food items suited to address specific nutritional deficiencies and suggests relevant exercise-related video content. The platform is intended for health awareness and educational purposes rather than clinical diagnosis, and demonstrates how foundational artificial intelligence concepts, combined with standard web technologies, can be used to build accessible, low-cost health-advisory tools.},
        keywords = {NutriSense AI, nutrition analysis, BMI calculation, health recommendation system, exercise suggestion, rule-based system, web application.},
        month = {July},
        }