., Manikanteswari and Siddiq, Md. Abubakar and Varma, G. R. V. Phani and Vijay, B. and Reddy, K. Rishik and Sai, A.C Naga (2025) Nutrient Recommendation System for Personalized Diet. International Journal of Innovative Science and Research Technology, 10 (3): 25mar1573. pp. 2277-2283. ISSN 2456-2165
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Abstract
The Personalized Diet Nutrient Recommendation System is a novel solution that combines advanced AI agents and generative AI to provide diet suggestions that are adaptive and culturally relevant. The system takes into account a range of user information, including age, sex, weight, diet aims, activity levels, allergies, and geographical location preferences, to create dynamic meal plans. The project combines real-time calorie tracking with personalized exercise suggestions, taking a more holistic approach than traditional systems. The installation, methodology, and performance of the system in delivering personalized nutritional suggestions are described in this paper.
Item Type: | Article |
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Subjects: | L Education > L Education (General) |
Divisions: | Faculty of Law, Arts and Social Sciences > School of Education |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 09 Apr 2025 10:07 |
Last Modified: | 09 Apr 2025 10:07 |
URI: | https://eprint.ijisrt.org/id/eprint/314 |