Production Website
Note: May take a minute or two to spin up as it's hosted for free.

• Meta Prophet Data Prediction: Utilizes Meta's Prophet procedure to predict renewable energy production for each country.
• Front-end Visualization: Visualizes predicted energy production data using a 3d map of the world.
• Backend Data Fetching: Fetches prediction data from a Flask backend connected to an online MongoDB database.

To get started with this project, follow these steps:

• Clone the repository to your local machine.
• Install the necessary dependencies.
• Set up and configure the Flask backend to connect to your MongoDB database by creating a .env file and adding MONGO_URI="YourMongoURI".
• Launch the Flask server to start serving prediction data (Run app.py).
• Open the front-end interface in a web browser to visualize the predicted energy production.

The database isn't provided. If you would like, you can use your own online mongo database. There is a free version which I used for this project. To create the data for this database run the create_and_store_data() function in the dataPrediciton.py file.

Contribute!