International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

SmartFit: An AI-Based Workout Recommendation System

Rujal GaikwadStudent, Artificial Intelligence and Machine Learning Engineering Diploma, Ajeenkya D. Y. Patil School of Engineering, Charholi, Pune, IndiaKaveri ChavanStudent, Artificial Intelligence and Machine Learning Engineering Diploma, Ajeenkya D. Y. Patil School of Engineering, Charholi, Pune, IndiaSanika UgaleStudent, Artificial Intelligence and Machine Learning Engineering Diploma, Ajeenkya D. Y. Patil School of Engineering, Charholi, Pune, IndiaMayuri NarudkarProfessor, Head of Department, Artificial Intelligence and Machine Learning Engineering Diploma, Ajeenkya D. Y. Patil School of Engineering, Charholi, Pune, India

Vol 10 No 1 (2026): Volume 10, Issue 1, January 2026 | Pages: 20-22

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-01-2026

doi Logo doi.org/10.47001/IRJIET/2026.101002

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Abstract

Personalized workout guidance is essential for achieving effective and safe fitness outcomes. Most existing fitness applications provide generic workout plans without adequately considering individual body parameters. This paper proposes a Workout Recommendation System that suggests personalized workouts based on user attributes such as Body Mass Index (BMI), age, and gender. The system classifies users into different fitness categories and recommends suitable exercises using machine learning techniques. The proposed approach aims to improve workout effectiveness, reduce the risk of injuries, and promote healthier lifestyles. The system follows a structured pipeline involving data collection, preprocessing, and recommendation generation. Future enhancements may include wearable device integration and diet-based recommendations.

Keywords

Workout Recommendation System, Body Mass Index (BMI), Machine Learning, Personalized Fitness, Exercise Recommendation


Citation of this Article

Rujal Gaikwad, Kaveri Chavan, Sanika Ugale, & Mayuri Narudkar. (2026). SmartFit: An AI-Based Workout Recommendation System. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(1), 20-22. Article DOI https://doi.org/10.47001/IRJIET/2026.101002

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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