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.
Authors
- G. Preethi
- N. Devadarshini
- T. Abirami
- K. Amrutha
Institutions
- Periyar Maniammai Institute of Science & Technology (IN)
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