Predict Formula 1 race outcomes for the 2025 season using machine learning and FastF1 data.

Gradient Boosting model trained on:

• FastF1 API data
• 2024 race results
• 2025 qualifying results

• FastF1 API (lap times, telemetry, results)
• 2025 qualifying sessions
• Historical race data

1. Collect & preprocess data
2. Engineer features
3. Train model on 2024 results
4. Predict 2025 race times & rank drivers

python3 prediction1.py

Example output:

🏁 Predicted 2025 Australian GP Winner 🏁
Driver: Lando Norris, Predicted Race Time: 81.78s
...
🔍 Model Error (MAE): 3.22 seconds

• Algorithm: Gradient Boosting Regressor
• Metric: Mean Absolute Error (MAE)

• Add weather & pit stop strategy
• Explore deep learning

MIT License