Healthcare Healthcare · IoT & AI

Hospital Automation Platform

40% faster monitoring

Automated real-time monitoring and anomaly detection platform

Challenge

Hospital operations were largely manual — patient monitoring, equipment tracking, and alerting relied on staff availability rather than continuous coverage.

Solution

  • IoT sensor network feeding real-time vitals to a central dashboard
  • AI-based anomaly detection for early alerting
  • Web dashboard for staff to monitor multiple wards at once
  • Mobile-friendly alerts to on-call staff

Architecture

Sensors (ESP32) MQTT Broker Backend (Node.js) Dashboard (React)

Technologies used

Python React Node.js ESP32 MQTT

Timeline

Week 1-2
Discovery & sensor spec
Week 3-5
Hardware + MQTT pipeline build
Week 6-8
Dashboard & alerting logic
Week 9
On-site pilot deployment
Week 10
Staff training & handoff

Results

40%
faster monitoring
reduced manual work
real-time alerts
Live
pilot deployment status

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Gallery

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