Inspiration

Coming from North Carolina that was recently hit by Hurricane Helene, I always wondered if we were safe living in Raleigh. This was the perfect opportunity for me to experiment with this.

What it does

By inputting an address (even only the street), you can find the chance of a flood in your area and which zone your area falls under.

How we built it

We used Javascript for the frontend, and Flask for the backend. The inputted address is passed as a parameter to the LightBox API which then returns a response. We extract the necessary details from the response and display it in a neat manner.

Challenges we ran into

Incorporating fetch.ai with Lightbox to use in a map that would advise how to get to the nearest safe location in case they were in a flood-prone area. (we were also working on a autonomous recycling marketplace before, but had issues with getting agents to match buy/sell bids)

Accomplishments that we're proud of

New Lookup tool!

What we learned

How frontend and backend communicate together!

What's next for Save my area

Expanding to increase to more endpoints, include maps, ai agents, etc.

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