A Generative Artificial Intelligence-Driven Framework for Personalized Meal Planning and Fitness Recommendation Based on User Health Profiles

DOI

https://www.doi.org/10.59256/indjcst.20260501C023

Conference

International Conference on Cyber and AI Security

Organised By

Madanapalle Institute of Technology & Science (MITS)

Conference Date

9 & 10 March 2026

Pages

140-145

Article Type

Research Article

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These days, a lot of people are dealing with health problems like obesity and diabetes because of bad eating habits and not managing their lifestyles well. It feels like everyone needs some kind of personal advice to figure out the right diet and exercise that fits their situation. I think this paper is about a system that gives tailored meal and fitness recommendations by looking at what the user is like health wise.The system starts by gathering info from the user, like age, gender, height, weight, how active they are, any health issues, and what their fitness goals might be. Then it calculates the BMI to get a sense of the person’s health and any risks involved. Based on all that, it comes up with meal ideas split into breakfast, lunch, and dinner. For exercises, it suggests plans that match up with how much time the person has and their objectives. The whole idea here is to encourage better eating and getting moving regularly. Oh, and it could be expanded later with machine learning to make the suggestions smarter and more flexible.