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Abstract: This study focuses on a scientific and experimental way of employing thera band and reflex ball training to improve punching accuracy in amateur boxing, and a revolutionary strategy is modeled. A group of athletes from various categories were chosen to put this idea to the test, with pre- and post-training data recorded and compared to see how Boxer performance, accuracy, and stability changed. Machine learning is a strong data categorization method that has been used to categorize recorded movement data. Furthermore, supervised machine learning models should be built on sparring data to evaluate if high accuracy can be maintained in a competitive context.