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.

The system will allow healthcare providers to remotely monitor the health status of their patients, enabling them to provide proactive care and interventions as needed. The system will also provide patients with greater flexibility and convenience, as they will be able to monitor their health from the comfort of their own homes, reducing the need for frequent hospital visits.

The project will involve the development of a web-based platform for data visualization and analysis, as well as a mobile application for patients to view their health data and receive alerts and notifications. The system will be designed with data privacy and security in mind, ensuring that patient data is protected at all times.