Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{202476,
author = {Prof. Kokare S. A. and Dandawate sanika vishal and Tejasvi Laxman Choudhari and Akanksha santhosh Pawar and Dr. Shah Saloni Niranjan},
title = {Ai-driven fuel locator and detector},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {7422-7427},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=202476},
abstract = {The AI-Driven Fuel Detector is a smart system that tracks and analyzes fuel levels using artificial intelligence. It is developed to solve issues like fuel theft, incorrect readings, and poor fuel management.
The system uses sensors to gather real-time fuel data and applies machine learning techniques to study usage patterns. It can detect unusual changes in fuel levels, such as sudden drops that may indicate leakage or unauthorized usage. The system can also estimate future fuel consumption based on past data.
A simple interface is provided to show fuel levels, alerts, and reports to the user. This helps improve monitoring, reduce losses, and manage fuel more efficiently. The solution can be used in vehicles, fuel tanks, and industrial applications.},
keywords = {Artificial Intelligence, GPS, Smart Mobility, Fuel Detection, Machine Learning, Intelligent Transport Systems},
month = {May},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry