FireGuard

Inspiration

There are a total of 7175 fire happened in CA in this single year, 2020, since it happens a lot and we must do something something to save the lives.

What it does

FireGuard uses AI data mining to predict where might happen a wildfire based on meteorological conditions such as temperature, humidity, wind, and rain. Besides those usual arguments, we also take the size of the forest, the cigarette sales volume of the city, and population density into account to improve our data mining model to get a more accurate result. FireGuard sends alerts to users immediately when they are close to a forest that a wildfire is predicted. It will also send a step-by-step guide to avoid the trigger of the wildfire as much as possible. If the wildfire already starts, FireGuard will ring loudly regardless of whether the user’s phone is muted since life is greater than anything. There will also be a quick short guide to inform the users where should they flee because many people can't make the right decision when they’re too nervous.

How I built it

We use Swift and Ruby to build the app.

Challenges I ran into

One challenge we ran into is that we had a hard time being able to pinpoint the user's location while they are using the app. We believe that there was an issue with the code, but were able to find the proper code to input, which allows us to add the current location of the user, however, some teammates additionally ran into technical issues when trying to assist with the code, which kept us from fixing the pinpointing user location part of the code.