I Built an F1 Race Intelligence Dashboard — Here’s Everything I Learned

📰 Medium · Python

Learn how to build a Formula 1 race intelligence dashboard using Python and various data sources

intermediate Published 12 Apr 2026

Action Steps

Collect and preprocess GPS telemetry data from Formula 1 races using Python libraries like Pandas
Utilize spring-physics cameras data to enhance the dashboard's visualization capabilities
Apply AI and machine learning techniques to analyze race engineer data and provide insights
Integrate voice commentary data to add a narrative layer to the dashboard
Configure and deploy the dashboard using a suitable framework like Dash or Flask

Who Needs to Know This

Data scientists and engineers working in sports analytics or motorsports can benefit from this tutorial to create interactive dashboards for race intelligence

Key Insight

💡 Combining various data sources like GPS telemetry, spring-physics cameras, and AI-powered race engineer data can create a comprehensive and interactive race intelligence dashboard