DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-BASED INTELLIGENT MONITORING SYSTEM FOR IDENTIFYING THE SPORTS POTENTIAL OF SCHOOLCHILDREN

Abstract

This article presents the development of a conceptual framework for an intelligent monitoring system based on artificial intelligence, designed to assess the physical fitness of schoolchildren and identify athletic predispositions. The system combines standardized indicators of physical activity, including strength, endurance, power, flexibility, balance, speed, and agility, into a predictive classification model across several classes that assesses the likelihood of predisposition to five functional groups of sports. A mathematical model based on feature standardization and softmax classification is proposed, as well as an analytical interpretation linking the measured indicators to physiological and athletic characteristics. The developed system provides a scientific basis for digitized, data-driven athletic orientation in general education institutions