AI-Crafted Diet and Fitness for Diseases using Machine Learning

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Authors: G. Preethi, K Amrutha, N. Devadarshini, T. Abirami
Cited by: 0

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.

Fields of Study & Subjects

Innovation in Digital Healthcare Systems Mobile Health and mHealth Applications Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026
Language
EN