PREDICT THE
NEXT PIT STOP
Machine Learning Powered Formula 1 Strategy Analysis. Real-time pit stop predictions using advanced Random Forest models trained on race telemetry.
Race Intelligence
Engineered for precision strategy decisions
ML Predictions
Random Forest model trained on real F1 telemetry data. Predicts optimal pit windows with high confidence.
Data Driven
Analyzed thousands of race laps across multiple seasons. Tire degradation, position pressure, and more.
Real-Time
Instant strategy recommendations. Input current race conditions and get pit stop predictions in milliseconds.
Strategy Edge
Compare aggressive, balanced, and conservative strategies. Confidence scoring and risk assessment built in.
Live Telemetry
Simulated race engineering data
About Project
Engineering meets data science
Machine Learning for F1 Strategy
PitVision AI uses a Random Forest Classifier trained on real Formula 1 race data to predict optimal pit stop timing. The model analyzes tire degradation patterns, race position dynamics, lap time deltas, and compound-specific wear rates to deliver actionable strategy recommendations.
Built with Python's scikit-learn ecosystem, the model processes 20+ engineered features including tyre stress indices, degradation rates, and position pressure metrics to achieve 98.47% accuracy on validation data.