AI-Driven Diagnostic System for Vehicles: Leveraging AI for Accurate and Efficient Automotive Problem Solving
<div class="section abstract"><div class="htmlview paragraph">Traditional vehicle diagnostics often rely on manual inspections and diagnostic tools, which can be time-consuming, inconsistent, and prone to human error. As vehicle technology evolves, there is a growing need for more efficient and reliable diagnostic methods. This paper introduces an innovative AI-based diagnostic system utilizing Artificial Intelligence (AI) to provide expert-level analysis and solutions for automotive issues. By inputting various details such as the vehicle’s make, model, year, mileage, problem description, and symptoms, the AI system generates comprehensive diagnostics, identifies potential causes, suggests step-by-step repair solutions, and offers maintenance tips. The proposed system aims to enhance diagnostic accuracy and efficiency, ultimately benefiting mechanics and vehicle owners. The system’s effectiveness is evaluated through various experiments and case studies, showcasing its potential to revolutionize vehicle diagnostics.</div></div>
Authors
- B Swathi
- T. Sasikala
- J. Joshua Daniel Raj (ORCID: https://orcid.org/0000-0001-9279-0190)
- Gaurav Shetty (ORCID: https://orcid.org/0000-0002-0859-2210)
- Darshan Didagur
Institutions
- Horizon College and Seminary (CA)
Publication Details
- Journal
- SAE technical papers on CD-ROM/SAE technical paper series
- Published
- 2024-12-10
- DOI
- https://doi.org/10.4271/2024-01-5225
- Citations
- 1
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.35