Smart City Emergency Response System

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  Real-time emergency reporting and dashboard with live map and analytics.”

Inspiration

Cities need faster emergency response systems. Many emergencies (fire, medical, accidents) waste critical time due to slow reporting. We wanted a system that instantly reports incidents, alerts responders, and visualizes data in real-time.

What it does

Allows users to report emergencies in real-time, automatically notifies nearest responders, and provides dashboards and maps to track incidents and improve city safety.

How we built it

Backend: FastAPI for REST API endpoints (/report-emergency, /recent-emergencies)

Frontend: Streamlit for interactive dashboards, graphs, and maps

Visualization: Matplotlib for graphs, PyDeck for maps

Data Storage: In-memory Python lists (can be upgraded to a database)

Challenges we ran into

Challenges we ran into

Integrating FastAPI backend with Streamlit frontend

Ensuring real-time updates in the dashboard

Handling map visualization and emergency type color coding

Accomplishments that we're proud of

Fully functional real-time emergency reporting system

Interactive dashboard and map visualization

Easy-to-use dark-themed UI

Works on both desktop and mobile

What we learned

How to connect a backend API with a frontend in Python

Real-time data visualization techniques

Designing a user-friendly emergency reporting system

What's next for Smart City Emergency Response System

Add database storage for historical data

Implement notification system for responders

Deploy to cloud for city-wide real-time monitoring

Built With

• amazon-web-services
• and
• apis:
• cloud)
• emergency
• endpoints
• fastapi
• for
• languages:-python-frameworks:-fastapi-(backend)
• or
• pydeck-database/storage:-in-memory-python-list-(can-be-replaced-with-any-db)-cloud/hosting:-localhost-(can-deploy-to-heroku
• reporting
• rest
• streamlit
• streamlit-(frontend)-data-visualization:-matplotlib