Emergency Dispatch Center

Excited to share the development of an innovative system for real-time rescue team management and routing, integrating advanced AI technologies with geographic mapping.

🤖 Large Language Model (LLM) Integration

The system uses Semantic Kernel and Azure OpenAI to enable natural language control over all operational aspects:

• Creating emergency incidents through textual description ("drowning people at Tel-Aviv Gordon beach")

• Automatic rescue team assignment based on capabilities and urgency

• Address-to-coordinate conversion using Azure Maps Geocoding

• Full support for Hebrew and English

🗺️ Advanced Mapping and Route Planning

• Ground Routes: Optimal routing based on OpenStreetMap road network, accounting for No-Drive zones (military areas, emergency zones)

• Aerial Routes: Flight path planning for drones and helicopters using A* and RRT* algorithms, including No-Fly zone avoidance

• 3D terrain visualization with DEM (Digital Elevation Model) layers

🎯 Core Capabilities

✅ Automatic detection and classification of emergency incidents (fires, floods, injuries)

✅ Dynamic prioritization by urgency and distance

✅ Multi-purpose rescue fleet management: ambulances, fire fighters, police, drones

✅ Real-time arrival time calculation and route visualization

✅ Color-coded snackbar notifications for status updates (green/yellow/red)

🛠️ Technology Stack

C# .NET | Blazor | Azure OpenAI | Semantic Kernel | MapLibre GL | Azure Maps | OpenStreetMap | MudBlazor

The system is built as a full web application, with a responsive user interface and RTL language support.