Personalized Fitness Segmentation with Actionable Insights

May 2025
Vol-11, Issue-3
Paper ID: 26557
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Machine Learning
Keywords
data driven fitness cardio machine learning KNN
Abstract
This research paper aims to personalize workout plans, reducing injury risk and improving adherence, trying to find clusters based on cardio exercises.

Author Information

# Name Institute / Affiliation
1 Anju Tiwari Institute of Computer Science, Mumbai Educational Trust – MET ICS
2 Bhushan Gaonkar Institute of Computer Science, Mumbai Educational Trust – MET ICS

How to Cite

Use the following formats to cite this article in your research.

APA Style
Tiwari, Anju & Gaonkar, Bhushan (2025). Personalized Fitness Segmentation with Actionable Insights. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 1003-1012.
MLA Style
Tiwari, Anju, and Bhushan Gaonkar. "Personalized Fitness Segmentation with Actionable Insights." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 1003-1012.
IEEE Style
Anju Tiwari and Bhushan Gaonkar, "Personalized Fitness Segmentation with Actionable Insights," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 1003-1012, 2025.
Vancouver Style
Tiwari Anju, Gaonkar Bhushan. Personalized Fitness Segmentation with Actionable Insights. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):1003-1012.
Harvard Style
Tiwari, Anju & Gaonkar, Bhushan (2025) 'Personalized Fitness Segmentation with Actionable Insights', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 1003-1012.
Chicago Style
Tiwari, Anju and Bhushan Gaonkar. "Personalized Fitness Segmentation with Actionable Insights." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 1003-1012.
Turabian Style
Tiwari, Anju and Bhushan Gaonkar. "Personalized Fitness Segmentation with Actionable Insights." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 1003-1012.

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