LLM Multi Agent Race Analysis System
This project utilizes a multi-agent system to analyze race data from the FastF1 library using CrewAI and LangChain. The system is designed to provide detailed insights and comparisons between drivers in a race session.
Setup Instructions
Create and activate a Conda virtual environment:
conda create --name race-analysis python=3.11 conda activate race-analysis
Install the dependencies:
conda env create --file environment.yml
Paste your OpenAI key in the .env file.
Provide basic context for the analysis system:
- Create a file named
context.md
in the root directory. - Add a brief text in
context.md
to provide basic context to the analysis system.
- Create a file named
Run the main script to start the race analysis:
python main.py
Usage
To run the analysis, execute the following command: