How chevesqueaky/carai works
The repository appears to be a small Python web application with car-related AI code, but the README is empty and the sampled files do not show how the AI module is used. The visible entry path is run.py into the WebApp package and then its routes. The connection from routes to car AI is therefore shown as unverified; no specific user-to-result behavior can be established from the available evidence. The large virtual-environment package tree is vendored tooling, not the application workflow.
Main entry points: run.py App runner · __init__.py Web app · route.py Route handlers · IA_car.py Car AI logic
Components 5
Web application
- App runner
run.py - Web app
WebApp/__init__.py - Route handlers
WebApp/route.py
Car AI
- Car AI logic
pythonApp/IA_car.py
Other components
- User
Connections 4
- App runner → Web app: starts
run.py - Web app → Route handlers: imports
WebApp/__init__.py - Route handlers → Car AI logic: may invoke
- User → App runner: initiates