Fast bowling in cricket is a biomechanically complex motion influenced by several factors, including stride length, arm speed, joint angles, and run-up velocity. While previous research has identified these elements as contributors to bowling pace, a lack of conclusive evidence linking them to consistent performance leaves athletes and coaches without actionable guidance. This project aims to bridge that gap by developing an AI-powered cricket coaching application that utilizes computer vision and machine learning to analyze bowling techniques in real time. The application will track key biomechanical parameters using smartphone cameras and provide personalized feedback to optimize performance. By offering an affordable and accessible training tool, this solution will empower fast bowlers-especially those without access to professional coaching-to refine their techniques and achieve higher bowling speeds. The integration of advanced biomechanical insights into a user-friendly platform has the potential to revolutionize cricket training, making elite-level coaching methodologies available to a broader audience.
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