RESQFLOW
System Operational Control Center

AI-powered emergency coordination

Every second
matters.

RESQFLOW connects ambulances, traffic networks and hospitals in one real-time routing layer — so the nearest help takes the fastest possible path.

Launch Emergency Control Center Explore How It Works
31%faster response, simulated
96%routes optimized
4green corridors live
Live Emergency — Sector 4
ETA 08 min 42 sec
Traffic Moderate
Route Efficiency 94%
Hospital City Care Hospital

Traditional dispatch vs. RESQFLOW

The same emergency, coordinated two very different ways.

Traditional System

  • Manual emergency coordination
  • Longer response time
  • Static, fixed routes
  • No hospital availability awareness
  • Manual traffic coordination
  • No predictive ETA
31% potential response-time reduction

RESQFLOW

  • AI-assisted ambulance & hospital matching
  • Dynamic rerouting around blockages
  • Traffic-aware navigation
  • Real-time hospital capacity matching
  • Simulated green corridor coordination
  • Predictive ETA with confidence score

How it works

Traffic data → AI ETA prediction → route optimization → dynamic rerouting

1Emergency reported
→
2Ambulance selected
→
3Traffic & road data pulled
→
4AI ETA prediction
→
5Route optimized
→
6Green corridor
→
7Hospital matched
→
8Live tracking & analytics

Frontend

Vanilla JS modules, Chart.js, SVG live map

Backend

Node.js / Express + Socket.IO

Routing

Time-dependent A* / Dijkstra simulation

Maps

Google Maps JS API (simulated fallback)

AI / ML

Heuristic ETA engine, ML-ready interface

Data

In-memory store / MongoDB-ready schema

Saving minutes. Saving lives.

0% Potential response-time improvement
0:00 Average time saved per run
0% Route optimization score
0% ETA prediction confidence

Metrics shown in this prototype are simulated demonstration values and should not be interpreted as clinical or operational claims.

Emergency Control Center

Live overview of every active case, ambulance and corridor.

12Active Emergencies
28Ambulances Available
08:42Avg. Response Time
14Hospitals Available
4Green Corridors Active
96%Routes Optimized

New Emergency Request

Priority Queue

AI Dynamic Routing Engine

The system evaluates distance, live traffic density, road capacity, roadblocks, time of day and emergency severity — not just the shortest path.

Dynamic Rerouting

Trigger a blockage to see the AI recalculate the route in real time.

Live Notification Center

Coordination events from the current response.

0 LIVE

Live Map

Real-time positions of ambulances, hospitals and traffic signals.

Ambulance Hospital Signal Green corridor

Ambulance Management

Fleet status across the city.

Hospital Matching

Hospitals are scored on capacity and readiness, not distance alone.

Green Corridor

Clear the path before the ambulance arrives.

4.8 kmCorridor Distance
12Signals Coordinated
06:24Estimated Time Saved

Signal states are simulated for demonstration — no live traffic-control system is connected.

Responder Desk

Coordinate priority response, traffic signals, and field teams from one operational view.

Priority Queue

LIVE

Field Alert

CRITICAL
AMB-204 approaching Signal 08.Patient condition: critical · ETA 06:42
Police coordinationConfirmed
Traffic control12 signals linked
Hospital readinessCity Care ready

Signal Coordination

Simulated control

Road & Traffic Watch

CurrentModerate45% density
+5 minHeavy62% density
Roadblock1 activeMG Road · 1.2 km

Responder Activity

Recent dispatch, corridor, and hospital events.

LIVE FEED

Live Operations Flow

Watch every background process as a nearby emergency moves through the response network.

Nearby incident monitor activeNew accident scans every 60 seconds
Next automatic scan60s
01🚨Emergency notificationNearby accident detected
02🚑Nearby ambulanceNearest available unit assigned
03🧠Traffic routesAI compares live route options
04🗺️Ambulance movingGreen corridor and ETA active
05🏥Hospital reachedCapacity confirmed and handoff complete
↻ Network continues monitoring for the next emergency

Incident Stream

Simulated nearby accident alerts.

0 ALERTS
Waiting for the next nearby incident scan.

Current Response

MONITORING
No active incidentThe response pipeline is standing by.
Ambulance—
Route—
ETA—

Analytics

Performance since RESQFLOW activation.

04:38Average Time Saved
31%Response Improvement
91%ETA Confidence
12Signals Coordinated

AI ETA Prediction

91% confidence
07:18predicted arrival
Traffic density 45%Current speed 62 km/hRoad condition Clear

Traffic Forecast

Next 60 minutes
NowModerate
+5mHeavy
+15mVery heavy
+30mModerate

Response Time Trend

Traffic Forecast

Emergencies by Type

Hospital Load

Emergency History

IDDateTypeSeverityAmbulanceHospitalInitial ETAFinal ETATime SavedStatus

About RESQFLOW

Built for Hackathon 2026.

RESQFLOW is a prototype emergency-response ecosystem. It simulates how AI-assisted routing, traffic coordination and hospital matching could reduce the time between an emergency call and definitive care.

Emergency User
↓
Emergency API
↓
Backend Server (Node / Express / Socket.IO)
↓
Emergency Management · Ambulance Management · Routing Engine
AI Prediction Engine · Hospital Matching · Green Corridor Engine
↓
Database + Maps + Traffic Data
↓
Dashboards
Admin Emergency Operator Ambulance Driver Hospital Staff Traffic Coordinator

No real patient data is used anywhere in this prototype. All emergencies, locations and metrics are simulated for demonstration purposes only.