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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47062

Fit Fusion : Diet & Workout Recommendation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47062

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem47062

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PPVK

Prof. P. V. Khopkar

RP

Rahel Palakhe

RP

Rutuja Patil

PC

Prem Chavan

VL

Vivek Lugade

SK

Saikaran Kondekar

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Abstract

In today’s fast-paced world, maintaining a healthy lifestyle through balanced diet and regular exercise is challenging for many individuals. Generic fitness plans often lack the personalization needed to support diverse body types and lifestyles. This paper presents FitFusion, a web-based system designed to offer personalized diet and workout recommendations based on individual characteristics such as age, weight, height, and dietary preferences. The system integrates machine learning, specifically the Random Forest algorithm, to predict and recommend diet plans based on user data and nutritional requirements. Developed using ReactJS, Express.js, and MongoDB, the platform includes a BMI calculator, intelligent recommendation engines, and a progress tracker. FitFusion aims to enhance user health outcomes and long-term adherence to healthy habits through real-time, personalized guidance.

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Cite This Article

Prof. P. V. Khopkar, Rahel Palakhe, Rutuja Patil, Prem Chavan, Vivek Lugade, Saikaran Kondekar, "Fit Fusion : Diet & Workout Recommendation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem47062

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Publication Date

5/7/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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