Fire Risk Assessment

Using historical data from NOAA (National Oceanic and Atmospheric Administration), Google Maps, Waze we can find early warning signs of potential fires to highlight high risk fire areas. To find these warning signs we will run ML models on past weather attributes (ex. temperature, precipitation, wind speed, etc.) and travel patterns (ex. people heading to risky fire starting areas like campgrounds) to highlight key attributes/patterns that best determine fire risk. We will apply this model to real-time streaming data from the same sources to determine high risk areas. This information will be available in two interfaces. One for the public which alerts travelers that they are heading to a high fire risk area and suggest other similar areas that have a lower fire risk. Another to be used by firefighters as a way to allocate manpower and resources to the appropriate areas before a fire starts.