IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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AI POWERED ONLINE VEHICLE ASSISTANCE

AUTHORS:
Pratiksha Vyawhare, Harsh Baraskar, Lalitesh Thakare
Mentor
Pravin Ligade
Affiliation

Department of MCA (Master of Computer Applications)


GH Raisoni College of Engineering and Management, Pune

CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Nowadays vehicles becoming more advanced and reliant on complex electronic systems, the need for smarter and more accessible support tools is growing rapidly. This paper presents a system designed to assist drivers and vehicle owners through an online platform that offers real-time help with diagnostics, maintenance reminders, and general vehicle-related queries. The proposed solution combines data collected from the vehicle with a user-friendly interface that allows people to report issues, ask questions, and receive guided support remotely. The goal is to reduce the reliance on in-person visits for minor concerns, provide faster responses during breakdowns, and help users better understand their vehicles’ needs. The system also tracks patterns over time to offer maintenance suggestions before problems occur. This research highlights how technology can play a helpful role in making vehicle ownership simpler and more informed.

Keywords
Vehicle assistance automotive diagnostics pre- dictive maintenance user support system intelligent transporta- tion online vehicle help. .
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Thakare, P. V. H. B. L. (2026). AI Powered Online Vehicle Assistance. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.011

Thakare, Pratiksha. "AI Powered Online Vehicle Assistance." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.011.

Thakare, Pratiksha. "AI Powered Online Vehicle Assistance." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.011.

References

[1]                     H. Zhang and R. Liu, “Artificial Intelligence in Au- tomotive Fault Detection: A Review,” *IEEE Transactions on Intelligent Transportation Systems*, vol. 22, no. 5, pp. 2761–2775, May 2021.


[2]                    A. Deshmukh, “Challenges in Vehicle Diagnostics and the Role of Driver Awareness,” *International Journal of Automotive Technology and Management*, vol. 10, no. 3, pp. 225–233, 2021.


[3]                     L. Choi and D. Kumar, “AI-Driven Virtual Assistants in the Automotive Sector,” *ACM Transactions on Human- Computer Interaction*, vol. 39, no. 1, pp. 1–18, 2023.


[4]                    M. Rahman, “Smart Vehicle Maintenance Using AI and IoT,” *Journal of Intelligent Systems*, vol. 30, no. 4, pp. 580–592, 2022.


[5]                     G. Bhatia, M. Mishra, and A. Goel, “Smart Vehicle Monitoring System Using IoT and Machine Learning,” In- ternational Journal of Engineering Research and Technology (IJERT), vol. 9, no. 6, pp. 553–557, June 2020.


[6]                      Doe, J. (2020). Artificial Intelligence in Automotive Services. Journal of Smart Systems, 15(3), 150-165.


[7]                   Smith, J. (2023). AI Applications in Automotive Systems. Journal of Emerging Technologies, 12(4), 45-60.


[8]                     Patel, R., Sharma, D., and Thomas, A. (2020). Appli- cations and Limitations of AI in Connected Vehicles. Interna- tional Journal of Smart Transportation, 8(2), 65–72.


[9]                     Singh, A., and Rao, N. (2022). AI-Driven Predictive Maintenance in Modern Automotive Systems. International Journal of Intelligent Transport Systems, 10(1), 45–53.


[10]                   R. Bhatia, M. Sharma, and A. Goel, “AI-Based Vehicle Fault Detection System Using Machine Learning Techniques,” International Journal of Computer Applications, vol. 182, no. 35, pp. 24–28, 2019.

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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