Research Article
Predictive Maintenance System in Cars Using OBD II
@INPROCEEDINGS{10.4108/eai.1-5-2025.2361304, author={Ali Al Jahwari}, title={Predictive Maintenance System in Cars Using OBD II}, proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman}, publisher={EAI}, proceedings_a={MECSRC}, year={2026}, month={3}, keywords={obd ii predictive maintenance diagnostics vehicle health flutter firebase machine learning}, doi={10.4108/eai.1-5-2025.2361304} }- Ali Al Jahwari
Year: 2026
Predictive Maintenance System in Cars Using OBD II
MECSRC
EAI
DOI: 10.4108/eai.1-5-2025.2361304
Abstract
This research proposes a smart predictive maintenance system that connects the car's OBD II unit to artificial intelligence, enabling drivers to prevent mechanical failures. The system pulls real-time sensor data from the vehicle, processes it with machine learning, and sends maintenance alerts in real time through a simple mobile application built with Flutter. Cloud storage with Firebase enables real-time monitoring and trend analysis of engine performance and fault codes. Tests indicate that the AI model can effectively detect problems early, reducing surprise breakdowns and saving repair bills. The methodology is practical and cost-effective, providing daily drivers with a simple method to monitor their vehicle's health. Future enhancements will include better AI models, support for electric vehicles, and voice assistance, making the experience even more intuitive and interactive.
