AI-Crafted Diet and Fitness for Diseases using Machine Learning

Abstract: Fast food and sedentary lifestyles have increased the prevalence of chronic conditions such as obesity, diabetes, and PCOD, especially in people in their mid-30s. This is addressed by a web application based on Python and Flask, which uses AI and ML to deliver personalized diet and exercise plans. Some of the features include calorie trackers, BMI calculators, and nutritional value trackers. By gathering user data on calorie intake, activity, and health conditions, it uses advanced algorithms such as reinforcement learning, GNNs, and transformers to provide tailored recommendations. It has a curate’s recipe database with meals designed for specific health needs, enabling informed dietary choices. The app integrates diet and exercise plans to help manage symptoms, prevent complications, and promote sustainable lifestyle habits. The comprehensive approach helps in managing chronic conditions and overall quality of life and hence makes it a very viable solution for health and wellness management.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-13
DOI
https://doi.org/10.5281/zenodo.18228352
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Crafted Diet and Fitness for Diseases using Machine Learning

G. Preethi, N. Devadarshini, T. Abirami, K. Amrutha
Zenodo (CERN European Organization for Nuclear Research)
Nutrition, Genetics, and Disease
article

AI-Crafted Diet and Fitness for Diseases using Machine Learning

G. Preethi, N. Devadarshini, T. Abirami, K. Amrutha
article en

Abstract

Abstract: Fast food and sedentary lifestyles have increased the prevalence of chronic conditions such as obesity, diabetes, and PCOD, especially in people in their mid-30s. This is addressed by a web application based on Python and Flask, which uses AI and ML to deliver personalized diet and exercise plans. Some of the features include calorie trackers, BMI calculators, and nutritional value trackers. By gathering user data on calorie intake, activity, and health conditions, it uses advanced algorithms such as reinforcement learning, GNNs, and transformers to provide tailored recommendations. It has a curate’s recipe database with meals designed for specific health needs, enabling informed dietary choices. The app integrates diet and exercise plans to help manage symptoms, prevent complications, and promote sustainable lifestyle habits. The comprehensive approach helps in managing chronic conditions and overall quality of life and hence makes it a very viable solution for health and wellness management.

Zenodo (CERN European Organization for Nuclear Research)
Periyar Maniammai Institute of Science & Technology (IN)
Zero hunger
Openalex Percentile: Top 90%
Nutrition, Genetics, and Disease
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