AURORA is an AI-powered disaster health system intelligence platform designed to predict healthcare system collapse, optimize emergency response, and intelligently manage blood and organ logistics during crises.
Built for emergency-prone and infrastructure-constrained regions, AURORA transforms reactive healthcare systems into predictive, autonomous, and survival-optimized networks.
During disasters, healthcare systems collapse due to:
- ICU overload without early warning
- Fragmented hospital coordination
- Ambulance misallocation
- Blood shortages and mismatch delays
- Organ allocation inefficiencies
- Lack of real-time simulation tools
- Internet failure during crises
Existing systems react after collapse begins.
AURORA predicts and prevents it.
AURORA is an AI-driven Crisis Health Intelligence Platform that:
- Predicts hospital overload before it happens
- Optimizes ambulance routing to minimize mortality
- Forecasts blood shortages 12 hours in advance
- Suggests optimal blood redistribution across hospitals
- Assists nurses with AI-powered triage decisions
- Simulates disaster scenarios for preparedness
- Supports offline-first deployment architecture
- ICU occupancy monitoring
- ER queue analysis
- 24-hour overload forecasting
- Hospital heatmap with risk scores
- Patient vitals input
- Red/Yellow/Green classification
- Deterioration probability prediction
- Explainable AI decision reasoning
- Real-time blood inventory tracking
- 12-hour shortage forecasting
- Cross-hospital redistribution optimization
- Blood compatibility matrix visualization
- Organ donor-recipient intelligent matching
- Transport time & success probability estimation
- Dynamic dispatch panel
- Mortality-weighted routing logic
- Real-time rerouting simulation
- Survival probability improvement metric
Optimization objective:
Minimize (Mortality Risk × Delay × Resource Scarcity)
- Earthquake simulation
- Epidemic surge modeling
- Hospital shutdown scenarios
- Fuel shortage stress testing
- Mortality projection graphs
- React / Next.js
- Tailwind CSS
- Interactive map visualization
- Command-center style dashboard
- FastAPI / Node.js
- PostgreSQL
- Modular REST API
- Time-series forecasting (LSTM-ready structure)
- Classification model structure (Triage AI)
- Optimization-ready routing engine
- Linear programming for blood redistribution
- Modular AI service layer
- Dockerized services
- Edge-deployment compatible structure
- Offline-mode ready architecture
/frontend
/backend
/routes
/models
/services
/stress_prediction
/triage_ai
/blood_forecasting
/routing_engine
/simulation
/database
/docs
- Emergency Coordinator
- Blood Bank Manager
- Nurse
- Policy Simulator (Admin)
Each role has dedicated dashboards and permissions.
✔ Predictive ICU overload detection
✔ Blood shortage prevention system
✔ Cross-hospital redistribution engine
✔ Mortality-aware ambulance routing
✔ AI-assisted triage classification
✔ Disaster simulation environment
✔ Modular AI integration layer
Most disaster apps:
- Show data dashboards
- React to emergencies
AURORA:
- Predicts collapse before it happens
- Optimizes survival outcomes
- Intelligently manages blood & organ logistics
- Enables policy-grade simulation
- Designed for low-infrastructure environments
- Stress prediction dashboard
- Blood inventory forecast module
- Redistribution recommendation engine
- Triage AI interface
- Basic routing simulation
- Disaster simulation panel
- ICU overload prediction accuracy
- Ambulance response optimization improvement
- Blood shortage prevention rate
- Triage classification precision
- System response time
AURORA aims to become a decentralized AI crisis brain capable of operating in disaster-prone and infrastructure-limited regions across the Mediterranean and beyond.
From prediction to prevention — AURORA protects healthcare systems before disaster overwhelms them.
AI4Purpose – AI for Disasters Hackathon
- Real-time satellite integration
- Drone-assisted medical logistics
- Multi-country coordination layer
- Blockchain-based medical record syncing
- On-device edge AI deployment