Operation Ward Zero

Build a Hospital That Fits Inside a Bedroom

Team size

2–3 members

Role: IoT Developer / Full Stack Developer / AI/ML Engineer
Format: Evaluation only
Prize: ₹10,000

What every entrant gets

You keep these whether or not you place.

Participation certificate
Get a verifiable certificate the moment you submit your work.

Overview

A hospital has monitors, nurses, alerts and constant supervision. A patient's bedroom usually has none of these. Your challenge is to turn a bedroom into a smart, connected care environment. Build a system that collects patient vitals, monitors medical equipment, verifies caregiver presence, enables real-time communication and uses AI to identify early warning signs. The system should work across different real-world situations, including poor connectivity, power interruptions, unreliable sensor readings and multilingual caregiver notes. Your solution should bring together three layers: IoT: Capture vitals, equipment health and caregiver activity. Full Stack: Build the platform connecting patients, caregivers, managers and families. AI/ML: Predict deterioration 24–48 hours in advance and explain why the patient may be at risk. Teams can work across all three roles, but individual contributions will also be evaluated separately.

Problem statement

Design and build a complete connected home-care system that can:

Monitor patient vitals and medical equipment in real time. Verify caregiver attendance and activity. Continue functioning during connectivity and power disruptions. Combine vitals, patient context and multilingual caregiver notes. Predict potential deterioration 24–48 hours before a serious event and trigger an appropriate escalation.

The system should demonstrate how a patient's home can operate like a small, always-aware hospital ward without compromising usability, privacy or clinical safety.

Deliverables

Working Prototype: IoT simulator/firmware + care platform demonstrating the complete solution.
AI/ML Model: Deterioration prediction model with dataset, methodology and performance metrics.
Technical Documentation: Architecture, setup instructions and key implementation details.
Demo Video: 5–7 minute screen recording showing the complete Live Crisis Demo from early warning to alert acknowledgement.
Source Code: GitHub/GitLab repository with code, README and any required datasets/configuration files.

Evaluation criteria

25% End-to-End Integration
20% AI/ML Performance
20% Reliability & Resilience
20% Platform & User Experience
15% Explainability & Clinical Safety

Frequently asked questions

Who can participate?
Developers, AI/ML builders, IoT enthusiasts and healthcare-tech innovators.
Can I participate solo?
Yes. Solo participants and duos are welcome. Teams of three are ideal.
What are the roles?
IoT Developer, Full Stack Developer and AI/ML Engineer.
What do I need to build?
A connected home-care system combining IoT, a care platform and AI/ML-based risk prediction.
Do I need physical hardware?
No. You can use real devices or a realistic simulator.
What is the prize?
₹10,000 total prize pool + 3 internships with PPO potential.

Questions & answers

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Prizes are offered and awarded by Nursio Innovation Pvt Ltd, not by Wooble. Amounts shown are as stated by the host and may include the host’s own valuation of non-cash items. Who places, how and when a prize is paid, and any tax or deduction, are between the winner and the host. A challenge may close, change or be withdrawn before results are declared.