an llm powered race engineer that delivers real time or simulated pit wall instructions based on live telemetry or historical session data

BOX. BOX. let's get the data in.

project structure

• strategy.py: handles telemetry data processing and degradation models
• engineer.py: logic for the generating instructions
• simulation.py: simulation script to see the engineer in action
• race-engineer.ipynb: data analysis and feature visualization

dataset

link

setup

pip install pandas numpy matplotlib scikit-learn

run the simulation to see real time pit wall advice:

python simulation.py

change the driver = 'NOR' variable to your fav driver and run the notebook to generate telemetry based analytics and strategy insights