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GYM MEMBERS EXERCISE PREDICTION USING MACHINE LEARNING

Shubhashree S, Shriya D Rath, Kashik Khandelwal, Shrutiparna Das

Abstract


In such an evolving scenario, as the fitness industry continues to shape and evolve, the anticipation and understanding of gym member workout behavior have taken on high significance. 

This paper documents an overall methodology to predict what exercise preferences a gym member might have through machine learning techniques .cyber footprints left behind a gym management system, a wearable, and member feedback, we implement several machine learning techniques to generate predictions and customize personal training programs accordingly. This study underlines the significance of data-driven strategies in enhancing member satisfaction and optimizing training outcomes.


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References


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