PFE27 - Fast AI DTC Root Cause H/F

Context

A single fault can generate many fault codes (DTCs). Their analysis broadens the field of possible causes and slows down the diagnosis in the workshop. The project aims to isolate the relevant DTCs using AI.

Design a prototype diagnostic aid that filters out DTCs and classifies probable root causes. Evaluate the relevance of the results and the analysis time, keeping the validation of the business expert.

Your Role

Analyze the available data and build a set of annotated cases.

Compare a rules-based approach to AI models.

Deliver an explainable prototype, an evaluation report and technical documentation.

Key Skills

Python and Rust

Data preparation

Machine learning

Basics in automotive diagnostics, DTC and embedded computers.

Experimental rigor, analytical skills and ability to interact with business experts.