ADRIAN - Emergency response network

AI Emergency Response & Relief Network (ADRN)

Build a production-quality disaster management platform by extending an existing AI Emergency Response Network. Do not create a separate food project. Integrate food and relief logistics as part of the same ecosystem.

Tech Stack

Frontend: Next.js (TypeScript + Tailwind CSS)
Backend: Spring Boot (Java)
Database: MongoDB Atlas
Real-time: WebSockets
Maps: OpenStreetMap/Google Maps API
AI Ready: Copilot architecture (future AWS AI integration)

Existing 4 Portals (Keep Them)

Citizen Portal

No login required for SOS.
Send emergency report.
Optional inputs:
- Voice recording.
- Photos.
- Live GPS location.
- Text message.
Emergency category:
- Flood.
- Fire.
- Earthquake.
- Landslide.
- Medical Emergency.

Rescue Team Portal

Live map with incoming SOS.
Priority queue.
First Come First Serve inside each priority.
Accept mission.
Navigate to victim.
Update mission status:
- Assigned.
- On the way.
- Rescued.
- Delivered to hospital.
- Completed.

Hospital Portal

Bed availability.
ICU availability.
Ambulance availability.
Doctor and emergency team availability.
Admit patient.
Update capacity in real time.

Command Center

AI Copilot chat.
AI Incident Analysis.
Multilingual support (Tamil, Sinhala, English).
Dashboard with disaster heatmap.
Live rescue monitoring.

NEW MODULE — AI Relief Logistics (Integrated)

This module activates automatically when AI detects a disaster affecting people.

Objective

Connect locations with excess food and water to disaster zones needing relief.

Food Sources

Restaurants.
Hotels.
Supermarkets.
Food warehouses.

Relief Workflow

AI detects disaster zone.
AI estimates affected population.
AI calculates meals and water needed.
AI searches nearest excess food sources.
AI chooses best source based on:
- Distance.
- Quantity.
- Food freshness.
- Travel time.
Government rescue vehicles receive delivery mission.
Live tracking until supplies arrive.

New Collections

FoodSource
ReliefRequest
ReliefMission
Inventory
Volunteer (optional future)

Food Source Fields

Name.
Type.
GPS location.
Available meals.
Water bottles.
Expiry time.
Contact.

Relief Request Fields

Disaster location.
People affected.
Required meals.
Required water.
Priority level.
Status.

Relief Mission Fields

Rescue vehicle.
Pickup location.
Destination.
ETA.
Status.

AI Decision Engine

Automatically determine:

Nearest food source.
Best delivery route.
Priority delivery order.
Hospital-first delivery if medical supplies needed.

Priority Rules:

Hospital emergency supplies.
Children and elderly shelters.
Large shelters.
Remaining public requests.

Live Tracking

Every 5 seconds:

Rescue vehicle GPS.
Delivery progress.
ETA updates.
Route recalculation if blocked.

Command Center Dashboard

Add Relief Widgets:

Meals available.
Water available.
Active deliveries.
Completed deliveries.
Critical shortage alerts.

Citizen Experience

After SOS:

Receive rescue status.
Receive food/water arrival ETA.
View assigned hospital.
View rescue team live location.

UI Theme

Dark emergency theme. Accent colors:

Red = Emergency.
Green = Hospital.
Orange = Relief Logistics.
Blue = Citizen.

Modern glassmorphism dashboard with responsive mobile + desktop layouts.

Deliverables

Generate:

MongoDB schema.
Spring Boot models, repositories, services, controllers.
REST APIs.
Next.js pages for all portals.
AI Copilot integration placeholders.
Real-time WebSocket events.
Complete folder structure.
Clean reusable components.
Sample seed data for hospitals, rescue teams, food sources and disaster reports.

The entire system should behave as one unified AI Disaster Response Platform, not two separate applications.