Stroke is one of the most significant health problems that aid disability and mortality in functionality of our system. Although there are already varies approaches, traditional and technical methods developed to help patients overcome these challenges, common systems to treat and help patients recover from this are, using local therapy approach, using EEG (electroencephalogram), and or using the brain computer interface. However, not all patients find this approach applicable, suitable and affordable. The aim of this research is to perform PostStroke Rehabilitation recovery training and testing on the patient without the need for brain computer interface (BCI) and electroencephalogram (EEG); our proposed method provides similar embodiment and rehabilitation capabilities to those perceived from existing therapeutic techniques such as Constraint-induced movement therapy (CIMT), occupational therapy, mirror therapy and authenticating fear. Our Research approach resolution is to develop a virtual reality (VR) based system for poststroke rehabilitation using Meta Quest (Headset) and Unity game engine for simulation of the virtual environment. Our emerging methods in Integrating of Generative-AI to provide adaptive therapy recommendations based on patient movements and engagement levels. We implement the use of a real-time compensatory movement detection system without EEG, relying on AI-driven motion analysis.