PitGenius.

Overview

An F1 race strategy optimiser that uses machine learning to recommend pre-race pit stop and tyre strategies, then compares predictions against actual race outcomes.

What's inside

• Pre-race strategy recommendations from qualifying positions and tyre allocations
• ML-powered pit stop and tyre choice optimisation
• Weather forecast integration for strategy planning
• Strategy quality evaluation and performance reports
• Interactive visualisations of predicted vs actual outcomes

Challenges

Combining historical race data, tyre degradation models, and weather forecasts into a single recommendation engine required careful feature engineering and validation against real race results.

What I took away

Deepened my understanding of applied ML for sports analytics, strategy optimisation, and building interpretable reports that compare model predictions to ground truth.