Inspiration
SafePulse was inspired by the need for faster, clearer coordination during emergency response situations. In high-pressure incidents, dispatchers and response teams often need to know where officers are, what incidents are active, who is closest, and how to send urgent alerts quickly. I wanted to build a system that brings all of that into one real-time dashboard using cloud services, maps, communication tools, and AI assistance.
What it does
SafePulse is a real-time emergency response application for tracking officers, managing incidents, and sending alerts. Dispatchers can view officer locations on a live map, create emergency incidents, assign nearby officers, and send alerts through communication services. The system is designed to help teams respond faster by giving them a centralized view of active incidents, officer availability, and location-based decision-making.
The app includes:
- Live officer location tracking
- Incident creation and management
- Real-time dispatcher dashboard
- Map-based visualization using Azure Maps
- Alert sending through Azure Communication Services
- A bot assistant for quick dispatcher support
- Officer status updates such as available, assigned, or unavailable
How I built it
I built SafePulse using C# and ASP.NET Core for the backend. The backend handles officer location updates, incident records, assignment logic, and alert requests. I used Entity Framework Core to model and store officers, incidents, and alert logs.
For real-time updates, I used SignalR so that when an officer’s location changes, the dispatcher dashboard updates immediately without needing to refresh. For the map interface, I used Azure Maps to display officer and incident markers. I also integrated Azure Communication Services to support emergency alert messaging.
The frontend dashboard is designed to show dispatchers a live operational view, including active incidents, officer locations, and alert controls. The officer-side app sends location updates to the backend so dispatchers can see officer movement in real time.
Challenges I ran into
One of the biggest challenges was designing a system that felt realistic while still being possible to build within a hackathon timeframe. Emergency response systems are complex, so I had to focus on the most important features first: real-time location tracking, incident creation, officer assignment, and alerts.
Another challenge was connecting real-time backend updates with the map interface. I had to make sure location updates were received by the backend, saved correctly, and broadcast to the dashboard through SignalR.
I also had to think carefully about privacy and safety. Since SafePulse involves tracking officer locations, I designed the concept around authorized access, audit logs, and limited use for official emergency response workflows.
Accomplishments that I'm proud of
I am proud that SafePulse combines multiple technologies into one practical emergency response workflow. Instead of being just a map app or just an alert system, it brings together live tracking, incident management, communication, and AI assistance.
I am also proud of building the project in a way that could realistically be expanded into a larger public safety platform. The architecture separates the backend, dashboard, officer app, database, and Azure services, making it easier to improve over time.
Most importantly, I am proud that the project focuses on real-world impact. SafePulse is designed around a serious problem: helping response teams coordinate faster during emergencies.
What I learned
Through building SafePulse, I learned more about how real-time systems work in .NET using SignalR. I also learned how cloud services like Azure Maps and Azure Communication Services can be used together to build practical, location-aware applications.
I learned how important it is to design software not just for features, but for real users and real situations. For emergency response tools, speed, reliability, privacy, and clarity matter just as much as the technology itself.
I also learned how to break a large idea into an MVP. SafePulse could become a big platform, but the first version needed to focus on the core workflow: see officers, create incidents, assign responders, and send alerts.
What's next for SafePulse
Next, I would like to expand SafePulse with stronger authentication, role-based access control, and secure officer login. I would also add route optimization using Azure Maps so dispatchers can see estimated travel time to incidents.
Future improvements could include:
- AI-powered incident summaries
- Predictive resource recommendations
- Voice or SMS-based officer check-ins
- Body camera or evidence upload support
- Admin analytics for response times
- Mobile push notifications
- Better officer status management
- Integration with 911/CAD-style dispatch systems
The long-term goal is to make SafePulse a reliable AI-assisted emergency operations platform that helps teams respond faster, coordinate better, and save lives.
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