Disaster Mapper [Datascience for Humanity - ON244]

• 

  Landing Page

• 

  Assessment Page

Inspiration

My inspiration was the wildfires that are currently happening in California, and how people are having to evacuate their homes.

What it does

This project is purely frontend, due to being the only person on the project. It is supposed to use a deep learning model trained on the xBD dataset to assess damage from satellite images.

How we built it

This is build using Javascript and React. There was a small backend made from Django, that called a NASA Api for satellite images, but this was not connected to the frontend.

Challenges we ran into

My team bailing on the project.

Accomplishments that we're proud of

Submitting something despite the other team members not showing up.

What we learned

Choose teammates you can rely on.

What's next for Disaster Mapper

Completion?

Built With

• django
• javascript
• react