The project introduces a real-time health monitoring system using Digital Twin (DT) with Augmented Vision (AV) for ICU patients. It helps identify high-risk cases through wearable biomedical sensors, which upload data to an IoT server. Each patient receives a unique DT-based AV code, enabling quick access to their real-time health data. Emergency cases are prioritized based on DT images: green for stable, orange for moderate risk, and red for critical. Doctors scan AV codes via an app to fetch patient data and provide prioritized care. This innovation streamlines emergency response, enhancing efficiency and saving lives with real-time patient insights.