AI-DRIVEN PERFORMANCE AND SKILL ANALYSIS OF ELITE PLAYERS IN INTERNATIONAL WOMEN'S KABADDI TOURNAMENTS

Kabaddi is a dynamic, high-intensity indigenous sport that demands exceptional physical fitness, tactical intelligence, and skill execution. With the growing participation and recognition of women’s Kabaddi at the international level, there is an increasing need for scientific and objective performance evaluation methods. Artificial Intelligence (AI) has emerged as a powerful tool in sports analytics, offering data-driven insights for performance enhancement. The present study aims to analyze the performance and skill parameters of elite players participating in international women’s Kabaddi tournaments using AI-driven techniques. Match statistics, video-based performance indicators, and machine learning models were used to evaluate raiding efficiency, defensive effectiveness, agility, endurance, and decision-making ability. The findings indicate that AI-based analysis provides accurate and unbiased evaluation of player performance, assists in talent identification, and supports strategic planning for coaches and selectors. The study concludes that integrating AI technology in women’s Kabaddi can significantly improve performance monitoring and long-term athlete development.