FixIt

Overview

FixIt is a vehicle diagnostics platform designed to turn raw OBD-II error codes into clear, actionable insights using artificial intelligence.

Traditional OBD-II scanners provide generic fault codes that often require manual lookup or mechanical expertise to interpret. AutoSense AI bridges that gap by ingesting diagnostic codes, vehicle data, and contextual signals, then applying machine learning models to predict the most likely root causes behind the issue.

The platform enhances basic diagnostics by combining historical repair data, common failure patterns, and real-world fix outcomes to generate intelligent recommendations. Instead of simply displaying a code, the system explains what the issue likely is, why it occurred, and what actions should be taken next, whether that is a minor fix, part replacement, or further inspection.

By transforming low-level vehicle data into understandable guidance, AutoSense AI empowers drivers, mechanics, and dealerships to make faster and more informed decisions.

What I worked on

• Built data pipelines to ingest and map OBD-II error codes to structured diagnostic information.
• Aggregated and analyzed repair datasets to associate fault codes with common causes and fixes.
• Implemented machine learning models to predict likely root causes based on code combinations and vehicle context.
• Designed APIs using FastAPI to process diagnostic requests and return ranked issue predictions.
• Developed logic to incorporate additional signals such as vehicle history, mileage, and recurring codes.
• Created a recommendation engine to suggest next steps, including potential repairs and parts.
• Structured outputs to be human-readable, translating technical codes into clear explanations.
• Designed the system to continuously improve by learning from new diagnostic outcomes and user feedback.
• Explored integration pathways with mobile apps and OBD-II hardware devices for real-time usage.
• Focused on reducing diagnostic ambiguity and minimizing unnecessary repairs.

Outcome

AutoSense AI improves the vehicle diagnostics process by turning cryptic error codes into meaningful, data-driven insights.

The platform reduces reliance on manual code lookup and trial-and-error repairs by providing probable causes and recommended actions upfront. This leads to faster troubleshooting, lower maintenance costs, and better decision-making for both individuals and automotive professionals.

By combining OBD-II data with machine learning, AutoSense AI creates a smarter diagnostic experience that moves beyond static code reading into predictive and intelligent vehicle maintenance.