The online patient monitoring project is aimed at developing a remote patient monitoring system that can be used to track and monitor the vital signs and health status of patients in real-time. The system will use a combination of hardware and software components to collect and analyze data from various sensors and devices, such as wearable devices, IoT sensors, and mobile apps. The system will also use machine learning algorithms to identify patterns and trends in the data, providing early warning signs of potential health issues.