Geo-Information Data Visualization Project

Project Overview

This project is a wildfire risk tool built by CSUN Computer Science students. It pulls together real data like current weather, how dry the land is, and where fires have burned before and uses that to show you where wildfires are most likely to start across California.

Whether you live near fire-prone areas, work in emergency response, or just want to stay informed this tool is for you. Browse a live map, check fire risk for any spot in California, set personal alerts, and see active fires all in one place.

View on GitHub

What Can It Do?

Live Fire Map

An interactive map of California that shows you where fire risk is high right now. You can filter by date and zoom into any area to see what's going on.
Fire Risk Score

Our system calculates a fire risk score for any location using weather conditions, how dry the plants and soil are, the terrain, and past fire history. Think of it like a weather forecast, but for wildfire danger.
Alerts & Notifications

Set your own alert level and get notified when fire risk in your area gets too high. No more constantly checking we'll let you know when it matters.
Always Up-to-Date Data

The system automatically pulls in the latest weather reports, satellite data, and fire records on a regular schedule so the information you see is always fresh.
Easy-to-Read Charts & Visuals

Complex fire and weather data is turned into simple charts and color-coded maps so anyone can understand what's happening at a glance no science degree needed.
Behind the Scenes Controls

Our team can manage the system behind the scenes updating data sources, managing user accounts, and keeping everything running smoothly.

How We Built It

Here's a look at the tools and programming languages our team used to build this project.

Frontend React · TypeScript
Backend Flask · Python
GIS Leaflet · deck.gl
ML scikit-learn
Database PostgreSQL

Tools & Technologies Used

React TypeScript Leaflet.js deck.gl Flask Python scikit-learn PostgreSQL Docker Alembic pytest NASA FIRMS API Git / GitHub MapLibre GL

Skills Our Team Used

Building Websites & Apps Teaching Computers to Predict Working with Map & Location Data Connecting App to Data Sources Interactive Map Design Collecting & Cleaning Data Organizing & Storing Data Training the Fire Risk Predictor React + TypeScript Python & Flask Packaging the App for Deployment Planning & Designing the System Teamwork & Sprint Planning Testing & Bug Fixing User Login & Security Live Alerts & Notifications Calculating Fire Danger Scores Finding & Fixing Problems