AI-Powered Fitness and Diet Recommendation System: A Personalized Approach to Health and Wellness

With the rise of technology in healthcare, personalized fitness and diet recommendations have gained significant attention. This paper presents an AI-powered fitness and diet recommendation system that leverages machine learning (ML) and generative AI to provide tailored workout plans, meal suggestions, and health-tracking features[1]. The system analyzes user-specific parameters such as age, weight, height, fitness goals, and dietary preferences to generate customized recommendations. Implemented using React, Redux, Node.js, Flask, and MongoDB, the platform integrates AI-driven insights to enhance user engagement through gamification, social sharing, and progress tracking. Initial evaluations demonstrate the system's effectiveness in offering personalized and adaptive health recommendations. This study highlights the potential of AI in promoting healthier lifestyles and outlines future improvements to enhance accuracy and user experience[2]

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Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-03-19
DOI
https://doi.org/10.47392/irjaem.2025.0085
Citations
2
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
3.63
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article

AI-Powered Fitness and Diet Recommendation System: A Personalized Approach to Health and Wellness

Sanjay Bansal, S. Santhosh, S. K. Bhandari, Isha Pramod Lakhekar
2 citations
International Research Journal on Advanced Engineering and Management (IRJAEM)
Nutrition, Genetics, and Disease
3.63
article

AI-Powered Fitness and Diet Recommendation System: A Personalized Approach to Health and Wellness

Sanjay Bansal, S. Santhosh, S. K. Bhandari, Isha Pramod Lakhekar
article en
2 citations

Abstract

With the rise of technology in healthcare, personalized fitness and diet recommendations have gained significant attention. This paper presents an AI-powered fitness and diet recommendation system that leverages machine learning (ML) and generative AI to provide tailored workout plans, meal suggestions, and health-tracking features[1]. The system analyzes user-specific parameters such as age, weight, height, fitness goals, and dietary preferences to generate customized recommendations. Implemented using React, Redux, Node.js, Flask, and MongoDB, the platform integrates AI-driven insights to enhance user engagement through gamification, social sharing, and progress tracking. Initial evaluations demonstrate the system's effectiveness in offering personalized and adaptive health recommendations. This study highlights the potential of AI in promoting healthier lifestyles and outlines future improvements to enhance accuracy and user experience[2]

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(03)
Dwarkadas J. Sanghvi College of Engineering (IN)
Openalex Percentile: Top 9%
Nutrition, Genetics, and Disease
3.63
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AI-Powered Fitness and Diet Recommendation System: A Personalized Approach to Health and Wellness — Sanjay Bansal, S. Santhosh, et al. · International Research Journal on Advanced Engineering and Management (IRJAEM) (2025) | TGRS Research Map | TGRS