Inspiration

After looking at the dataset for a long time and testing out different ideas, we wanted to create learn something new and create a prediction model.

What it does

It predicts astronaut flight times and mission counts based on various demographics.

How we built it

We used Streamlit and Python to be able to easily visualize our predictions.

Challenges we ran into

  • Little data about astronauts in general (but especially international) makes it difficult to create an accurate model
  • Astronaut datasets might not reflect exact current numbers
  • Instead of using the exact Social_Science.csv dataset, we inadvertently used the dataset linked below the download, assuming them to be the same.

Accomplishments that we're proud of

Using streamlit for the first time, creating a prediction model for the first time.

What we learned

Streamlit is very efficient for creating an interactive user interface.

What's next for Astronaut Mission Predictor

We would like to incorporate more modern data and add an interactive map of the world where people can click different states and countries to learn more about various astronauts.

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