AI Based Personalized Health Aware Diet Recommendation System

Nowadays, as people get more aware of their health since more illnesses are tied to how we live, the importance of eating a balanced diet has become much clearer and also we get know how useful a diet can be for you. Eating healthy food is absolutely necessary in order to manage your weight, stopping long-term illnesses, and improving how you feel overall. But the normal ways of planning what to eat are too general and usually don’t consider what specific nutrients you need, what foods you can’t or don’t eat, and your personal health. This research proposes an AI Based Health Aware personalized Diet Recommendation System to solve these problems - it creates eating plans designed for you based on your health Parameters. To interpret each person’s health, the system takes things like age, height, weight, Body Mass Index (BMI), how much they exercise and what nutritional needs they have as input. Then, it uses artificial intelligence and a content-based recommendation method to know how nutritious foods are and what’s in them, and recommend suitable meals and plans. By looking at a huge amount of food information including recipes and nutritional details system looks for foods that match the person’s health and diet goals. The system’s backend is built with FastAPI to quickly process information and link to an API, and Streamlit is used for the front end (what you see and use) so it’s easy and usable. The system aims to give you a diet that is suitable to you, and available easily everywhere, to help you eat healthy food and make good choices about nutrition.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-17
DOI
https://doi.org/10.5281/zenodo.20726714
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Based Personalized Health Aware Diet Recommendation System

Prof. Mr. S. D. Anap, Suvarna Badhe, Apurva Asane, Dipali Gadekar
Zenodo (CERN European Organization for Nuclear Research)
Nutritional Studies and Diet
article

AI Based Personalized Health Aware Diet Recommendation System

Prof. Mr. S. D. Anap, Suvarna Badhe, Apurva Asane, Dipali Gadekar
article en

Abstract

Nowadays, as people get more aware of their health since more illnesses are tied to how we live, the importance of eating a balanced diet has become much clearer and also we get know how useful a diet can be for you. Eating healthy food is absolutely necessary in order to manage your weight, stopping long-term illnesses, and improving how you feel overall. But the normal ways of planning what to eat are too general and usually don’t consider what specific nutrients you need, what foods you can’t or don’t eat, and your personal health. This research proposes an AI Based Health Aware personalized Diet Recommendation System to solve these problems - it creates eating plans designed for you based on your health Parameters. To interpret each person’s health, the system takes things like age, height, weight, Body Mass Index (BMI), how much they exercise and what nutritional needs they have as input. Then, it uses artificial intelligence and a content-based recommendation method to know how nutritious foods are and what’s in them, and recommend suitable meals and plans. By looking at a huge amount of food information including recipes and nutritional details system looks for foods that match the person’s health and diet goals. The system’s backend is built with FastAPI to quickly process information and link to an API, and Streamlit is used for the front end (what you see and use) so it’s easy and usable. The system aims to give you a diet that is suitable to you, and available easily everywhere, to help you eat healthy food and make good choices about nutrition.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 6%
Nutritional Studies and Diet
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