In today’s world, the Internet of Things (IoT) represents a smart and dynamic approach, leaving a profound impact on the future of the automobile industry. The integration of IoT innovations across various sectors is catalyzed by emerging trends, driving the demand for an enhanced human lifestyle. The applications of IoT are diverse and extensive, with one compelling example being its implementation in the automobile industry to monitor engine lubricants in real-time. An IoT-based Engine Oil Monitoring (EOM) System has been developed to address this need, aiming to streamline processes and offer intelligent sensing solutions for maintaining optimal engine oil conditions. This system utilizes an Arduino Nano microcontroller along with sensor devices such as the Light Dependent Resistor (LDR) sensor for assessing oil quality, the LM35 Temperature sensor for monitoring temperature, and an Ultrasonic Sensor for measuring oil levels within the engine. The testing results are displayed on a connected unit, providing immediate feedback on the engine oil’s status. Experimental findings from the proposed EOM system, utilizing IoT networks, demonstrate its efficacy in diagnosing engine lubri
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