The Use of Artificial Intelligence Applications to Improve Fitness Levels in University Students

Abstract

This study analyzes the impact of an artificial intelligence-based application on physical fitness in university students. A total of 114 participants were divided into experimental and control groups. The intervention lasted 8 weeks and was conducted during physical education classes. The experimental group used the FitAI application (version 1.5.5), while the control group followed standard training. Fitness variables included BMI, cardiovascular endurance, muscular strength, and flexibility. Results show great improvements in the experimental group across all parameters. The findings support the use of AI applications as an effective tool for enhancing physical education outcomes in university settings.