Inspiration

The world's climate is changing, and we need to do something now about that. Introducing REDC, the Renewable Energy Data Collection database.

What it does

REDC optimizes the ideal locations of renewable energy farms. Currently we are focusing on wind turbines. We want to make sure that we can generate the maximum amount of green energy while also not disturbing the local wildlife. That's why we are using a machine learning model that will crosscheck predicted wind patterns and bird migration patterns. The user will see a map that allows them to select points of interest, which then will be sent to the server to be processed using historic data to generate a "heatmap" around the selected points to determine the optimum location for wind turbines.

How we built it

Some of the technologies we used are, but are not limited to:

(Frontend)

  • React
  • Bootstrap
  • Github Pages

(Backend)

  • Python
  • Tensorflow
  • AWS

Challenges we ran into

We discovered that it was challenging to use routes in React on GitHub pages, since the browser history is processed differently on GitHub pages than locally hosted pages. We also discovered the difficulties with working with CORS but were able to devise a solution to our problem.

Accomplishments that we're proud of

We are most proud of the fact that we have a basic prototype after less than 24 hours. We got acquainted with our team, took breaks, attended workshops, and of course stopped for the delicious lunch and dinner, while also achieving great work on our project.

What we learned

We learned a lot about full stack development in this project and how the frontend and backend work together to make a symbiotic system. We also dove into simple machine learning models and ran GitHub jobs for testing.

What's next for REDC

The next step is to expand our project to also include data for solar, hydroelectric, and geothermal power generation. We want the world to rely on clean energy, so this is a great place to start!

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