Inspiration
Inspired by childhood nostalgia and arcade games, we decided to do a Mario Kart themed hack.
What it does
Predict-a-Kart simulates epic battles between iconic Mario Kart characters across different maps! This simulation uses character stats, map-specific physics, and power-ups to determine who will cross the finish line first. You can run thousands of simulations, dive into physics-based results, and explore exciting CSV outputs!
How we built it
Used Python, sklearn, RandomForestClassifier, and Figma
Challenges we ran into
Certain design elements, what elements to give certain weight to in order to determine success of a win, and how to model our data
Accomplishments that we're proud of
Deepened our understanding of our skills, and successfully fleshed out a prototype for our concept ideas.
What we learned
Learned more about machine learning, data modelling, and UI development
What's next for Predict-a-Kart
Including more maps and characters, and increasing our modelling efficiency
Built With
- figma
- python
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