Personalized Fitness Segmentation with Actionable Insights
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.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
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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