Serious healthcare issues associated with paralysis include limited mobility, trouble communicating, and insufficient real-time monitoring, which can cause emergency responses to be delayed and rehabilitation assistance to be inadequate. Current methods lack an integrated strategy and only concentrate on either health monitoring or rehabilitation. The IoT-enabled healthcare and therapy system Para Motion, which integrates automated physiotherapy, emergency response, and ongoing health tracking, is presented in this paper. Accelerometers for fall detection, temperature sensors, ECG sensors, and flex sensors for gesture-based communication are all integrated into the system. A physiotherapy glove automates hand activities to help with rehabilitation, and a mobile app and web platform enable caregivers to remotely monitor patient data. Experiments in the real world showed enhanced patient autonomy, 99% success rate in emergency warnings, and high sensor accuracy. Para Motion provides a scalable, patient-centered solution by combining emergency response, rehabilitation, and health monitoring. Future developments will include AI-driven predictive analytics and increased sensor capabilities.