An Intelligent Conversational Assistant for Automobile Fault Diagnostics

Sofowora M. A^1*, Ogunsanwo J. O², and Okoya T. O³

Abstract

Significant changes are sweeping through the worldwide automobile industry, which can largely be attributed to developments in Artificial Intelligence applied to vehicle maintenance. Artificial Intelligence techniques are used in fields like predictive maintenance, predictive quality, safety analytics, and warranty analytics. The system creates valuable insights from the data generated on these vehicles to help us predict and prevent failures. This technology can predict the remaining useful life and detect failures or degradation in performance at an early stage. However, despite the fact that the automotive industry has undergone profound transformations fueled by technological advancements, traditional methods of vehicle diagnostics continue to present significant challenges for both car owners and mechanics alike. Therefore, this study aims to develop an Intelligent Conversational Assistant for automobile fault diagnostics. The application was developed using the Google's Android Studio IDE in conjunction with the Kotlin programming languages for Android development. The study demonstrates the potential of Artificial Intelligence and natural language processing technologies in automotive diagnostics, in terms of better diagnostic accuracy, and improved positive user experience.

Keywords

Artificial Intelligence, Chatbots, Natural Language Processing, Android

Corresponding Author

Sofowora M. A, Faculty of Applied Science, Department of Computer Science, Lead City University, Ibadan. 23402. Nigeria.

Citation

Sofowora, M. A., Ogunsanwo, J. O., & Okoya, T. O. (2025). An Intelligent Conversational Assistant for Automobile Fault Diagnostics. J Cogn Comput Ext Realities, 1(1), 01-12.