aspg-25-3818-1792092463 20261015192743 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2025 9 2 A. V. Adlin Grace Assistant Professor, Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India Sanjay Kumar S. UG Scholar, Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India Rajesh S. UG Scholar, Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India Ragul Doss R. UG Scholar, Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India Cricket is a physically demanding sport that exposes players to various acute and chronic injuries. Preventing these injuries is crucial for maintaining peak performance and prolonging careers. This project leverages artificial intelligence (AI) and machine learning (ML) to analyze key player data, including biomechanics, workload, fatigue, and mental stress, to assess and mitigate injury risks. Wearable sensors and tracking systems continuously monitor player movements, workload, and physiological parameters, providing real-time insights into their physical condition. By detecting patterns that indicate potential injury risks, the AI model enables early intervention through personalized training modifications and recovery programs. This proactive approach minimizes injuries, optimizes player fitness, and enhances performance. Ultimately, integrating AI-driven injury prevention strategies in cricket ensures better player management, increased longevity, and improved overall team efficiency. 2025 21 25 3818 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.090205 https://www.americaspg.com/journal/25/article/3818 https://www.americaspg.com/storage/articles/manuscripts/01KWQ4STZBXX7ZA9AC7M6N7XV8.pdf