Abstract
In today's world, machine learning is increasingly being used in health diagnostics and sports science. One of the most pressing issues in this field is the accurate prediction of an individual’s calorie expenditure and physical fitness level. In this article, we explore how machine learning algorithms, especially deep learning methods, can be applied to analyze individual physiological data and accurately estimate caloric consumption. Additionally, we examine international experiences, legal regulations, and innovative applications related to this topic.
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