Nutrient Recommendation System for Personalized Diet
Year: 2025
Type: article
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.
Authors: Manikanteswari ., Md. Abubakar Siddiq, G. R. V. Phani Varma, B. Vijay, K. Rishik Reddy, A.C Naga Sai
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4409271887