Abstract
Artificial Intelligence (AI) has become one of the revolutionary technologies in the science of sports, especially when it comes to assessing the physical fitness and the performance of sports. This research is an analysis of how AI-based tools can be used to evaluate the performance of athletes based on the secondary data analysis of the available published literature of the years 2015 through 2025. The study brings together the results of peer-reviewed journals, conference papers, and reports in the fields of machine learning, computer vision, wearable sensor analytics, and predictive modeling in sports. The analysis has shown that AI technologies contribute with the high accuracy and efficiency of the performance evaluation by providing the opportunity to monitor the functioning in real time, conduct a biomechanical examination of the functioning, predict an injury, and construct individual trainers. The use of AI in the form of wearable fitness departments, motion tracking technology, and smart fitness applications can supply the information that can then be used by coaches, sports scientists, and athletes to facilitate the optimization of training plans. With these advantages, there are still several issues including high implementation costs, privacy, technical expertise and limited accessibility to developing regions which act as a major setback. The research reaches the conclusion that AI could help revolutionize the sports performance evaluation promoting objective and data-informed decision-making in training and athlete management. To create cost-effective AI systems and enhance the ethical framework should become the aim of the future research in order to implement AI in sports science and physical education fairly.