This talk presents a system enhancing upper limb rehabilitation using unsupervised ML (PCA, K-Means, SOM). Analyzing data from AR/VR games, we classify movement patterns to track patient recovery. We will demonstrate the architecture and a clinical dashboard that visualizes biomechanical metrics. Learn how data-driven insights empower professionals to objectively monitor progress and optimize treatment protocols beyond traditional methods.