Collect vitals from sensors and devices, validate and format data for uniformity.

Use Apache Kafka for reliable, fault-tolerant streaming of patient data.

Clean, normalize, and transform data for accurate anomaly detection.

Apache Spark Streaming performs low-latency, distributed computation.

Models analyze data to forecast risks and detect anomalies.

Interactive UI for real-time vitals, alerts, and trend analysis.

Microservices and containerization enable modular, scalable deployment.

Encryption, access control, and audit logging ensure data privacy and compliance.