This research aims to improve the quality of life for individuals with cerebral palsy (CP) by integrating personalized robotic assistance and advanced computer vision technology. The study focuses on enhancing mobility and daily living activities for CP individuals, leveraging innovative solutions that combine cutting-edge technology with user-centric design principles. The research involved the development and implementation of a robotic system equipped with real-time activity monitoring, weakness detection, and fall prevention capabilities. A diverse group of CP individuals participated in the study, engaging in regular sessions with the robotic system. The intervention's effectiveness was assessed through quantitative and qualitative methods, including mobility measurements, muscle strength assessments, and participant feedback. The results demonstrated significant improvements in mobility and functional abilities among the participants. The robotic system's adaptability and the precision of the computer vision technology contributed to these enhancements. Participants and caregivers reported high satisfaction levels, highlighting the system's user-friendliness and impact on quality of life. Our research contributes to the field of assistive technology by demonstrating the effectiveness of personalized, adaptive robotic systems in CP rehabilitation. It underscores the importance of integrating advanced technology in therapeutic approaches and emphasizes the need for user-centric designs. The study's findings suggest the potential for broader applications of such technology in various disabilities. Future research directions include long-term efficacy studies, larger-scale implementations, and exploration of additional technological integrations in CP care.