Sport injuries, in this case, ankle ligament injuries are a serious challenge to a sport athlete, which usually affects performance and recovery period. The research assessment is based on the efficacy of a well-developed rehabilitation intervention involving the deployment of the AI-based biomechanical evaluation program with the Zebris Treadmill and Volt Athletics platform to have ankle partial ligament tear recovery optimally. The study uses experimental design in terms of pre-test and post-test results assessed on a sample of athletes diagnosed with mild ligament injuries. Rehabilitation programs were based on the biomechanics of the individual athletes, and the results were estimated by statistical methods, paired t-tests, to determine strength, stability, and movement efficiency change. It showed statistically significant improvements in force distribution, lateral symmetry, and gait stability, which proves the effectiveness of data-based rehabilitation methods. The results suggest the relevance of technology-based rehabilitation activities to reduce risks of reinjury and enhance performance in sports. Future studies ought to consider longer periods of rehabilitation, larger sample sizes, and AI-assisted modifications of individual-based healing approaches.