• Aniruddha A. Gadhave
• Dr. Sweety G. Jachak
• Ajay B. Dharankar
• Suyash M. Wagh
• Aftab Y. Shaikh

Fuel is among the most valuable commodities globally, and this has resulted in a significant increase in fuel theft worldwide. A considerable portion of fuel is pilfered during transportation between industries. The detection of such theft is complicated due to the numerous logistical challenges involved. A solution is proposed to address this issue by implementing a secure system aimed at preventing fuel theft from tankers. This system involves continuous monitoring of the fuel level in the tanker's storage tank. An alert is triggered when the fuel level drops below a predetermined threshold, notifying both the driver and the fuel agency. Additionally, a security system employing password authentication serves as the initial layer of protection. Furthermore, a GPS module allows authorities to track the truck's location via a web application. The innovation of the proposed system lies in its IoT (Internet of Things) enabled security features, facilitating communication between sender and receiver parties. Upon confirmation, fuel dispensation is enabled. This system is anticipated to play a pivotal role in mitigating fuel theft.

Fuel Theft, IoT, NodeMcu, GPS, fuel level Sensor, Cloud, Machine Learning.

"Fuel Tanker Theft Prevention System using Internet of Things and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o461-o465, April-2024, Available :http://www.jetir.org/papers/JETIR2404F63.pdf

"Fuel Tanker Theft Prevention System using Internet of Things and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo461-o465, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F63.pdf