Journal of Cognitive Human-Computer Interaction JCHCI 2771-1463 2771-1471 10.54216/JCHCI https://www.americaspg.com/journals/show/3818 2021 2021 Assistant Professor, Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India A. A. UG Scholar, 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. 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 2025 34 43 10.54216/JCHCI.090205 https://www.americaspg.com/articleinfo/25/show/3818