Inspiration
Climate Change is a big issue in our world and we wanted to combat this by giving users the ability to make impactful decisions on renewable energy!
What it does
It allows you to place down markers and then you are given a sustainability score
How we built it
We built this project by using React and the Mapbox API to drop markers on the map that display either solar or wind energy. We used 2 machine learning models (RandomForestRegressor & ANN) to develop the models for predicting the energy output of solar and wind. We gather these features of the models by feature engineering and also calling to the WeatherAPI and Open-Meteo API to give us all of our features at a specific latitude longitude. Finally, we compare a predefined sustainability score based on multiple factors and display this to the user along with graphs.
Challenges we ran into
Integrating Docker with our project.
Accomplishments that we're proud of
Being able to render the API and then using the markers to get a score.
What we learned
Integrating Docker.
What's next for EcoNauts
Fixing UI and implementing more changes
Built With
- docker
- fastapi
- mapbox
- numpy
- open-meteo
- pandas
- react
- scikit-learn
- tailwind
- tensorflow
- weatherapi
Log in or sign up for Devpost to join the conversation.