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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in September 2026 (Volume 20, Issue 3) Submit manuscript

AI-Based smart fitness and nutrition management system

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  • AI-Based smart fitness and nutrition management system

Suyash Taral *, Tanmay Kad, Wardhan Darekar, Aarti Pimpalkar, Vijaya Patil and Mayuresh Gulame

Department of CSE, MIT School of Computing MIT Art, Design and Technology, University, Pune.

Research Article

International Journal of Science and Research Archive, 2026, 19(02), 340-346

Article DOI: 10.30574/ijsra.2026.19.2.0918

DOI url: https://doi.org/10.30574/ijsra.2026.19.2.0918

Received on 20 March 2026; revised on 26 April 2026; accepted on 28 April 2026

Maintaining a healthy lifestyle requires regular physical activity and balanced nutrition. However, many individ-uals find it difficult to choose suitable workout routines and diet plans due to the overwhelming amount of information available online. Different sources often provide conflicting advice, which can create confusion and reduce motivation. This research proposes an AI-Based Smart Fitness and Nutrition Management System designed to provide personalized workout and nutrition recommendations. The system collects user information such as age, body measurements, lifestyle habits, and fitness goals, and analyzes this data using intelligent decision-support techniques. Based on the analysis, the system generates customized fitness plans and dietary suggestions that are easy to understand and follow. By simplifying the decision-making process and presenting recommendations through a clear digital dashboard, the proposed system aims to support individuals in maintaining consistent fitness routines and improving their overall health.

Artificial Intelligence in Fitness; Personal-Ized Workout Planning; Nutrition Recommendation Systems; Health and Wellness Technology; Smart Fitness Management

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2026-0918.pdf

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Suyash Taral, Tanmay Kad, Wardhan Darekar, Aarti Pimpalkar, Vijaya Patil and Mayuresh Gulame. AI-Based smart fitness and nutrition management system. International Journal of Science and Research Archive, 2026, 19(02), 340-346. Article DOI: https://doi.org/10.30574/ijsra.2026.19.2.0918.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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