RaceVision AI: Chase the End Line

• 

  carr

Inspiration

Racing is as much about precision and data as it is about speed. We were inspired by the idea of giving drivers and fans deeper insights into race dynamics

What it does

RaceVision AI analyzes racing datasets to visualize lap times, driver performance, and track conditions in real time.

How we built it

Data: We collected and cleaned racing datasets (including Road America data).

Backend: Python scripts for preprocessing and machine learning models to predict outcomes.

Frontend: A React + Vite dashboard that displays charts and interactive race visualizations.

Deployment: Hosted on a cloud platform with a public folder for static assets and datasets.

Challenges we ran into

Handling large datasets efficiently without slowing down the dashboard.

Integrating real-time updates with static data sources.

Accomplishments that we're proud of

Successfully built a working prototype that visualizes race data.

What we learned

How to manage datasets in web projects using the public folder.

The importance of execution policies and environment setup when working with npm and Git.

What's next for RaceVision AI: Chase the End Line

Expand dataset coverage to include more tracks and racing series.

Add live telemetry integration for real-time race visualization.

Built With

• html5
• javscript
• python-package-index