Digital twin–driven virtual human health monitoring and alert system

The Digital Twin–Driven Virtual Human Health Monitoring and Alert System is designed to assist users in tracking and improving their health through an intelligent digital platform. The system collects essential health parameters such as oxygen saturation, blood pressure, sleep duration, water consumption, and daily physical activity using an interactive chatbot interface. Based on this information, the system creates a dynamic virtual representation of the user’s health condition, commonly referred to as a Digital Twin. This virtual model is continuously updated as new health data is provided by the user. Machine learning algorithms analyze the collected data to generate meaningful health insights, including reports, lifestyle suggestions, and preventive recommendations. If any health metric crosses a predefined safety threshold, the system generates alerts to notify the user about potential risks.