The integration of Internet of Things (IoT) technology into motor control systems enhances real-time monitoring, automation, and precise control over the operational parameters of three-phase induction motors. The objective of the thesis is to design, develop, and implement an IoT-based control system for three-phase induction motors to enhance operational efficiency, enable real-time monitoring, and optimize energy consumption in Ethiopian industrial applications. Whereas the benchmark of the research is Gilgel Gibe I, II, and III power plants. This study explores an IoT-based control architecture designed to regulate the voltage, current, temperature, and vibration of three-phase induction motors. The system leverages IoT sensors to continuously collect data on motor parameters such as voltage, current, vibration, and temperature, which are transmitted to a cloud-based server. A proportional integral derivative controller, embedded within the IoT platform, dynamically adjusts the motor’s current and voltage supplied to the motors. The material used to implement the project is an IoT device, Sensors, and IoT platforms. Quantitative evaluations ware performed by comparing the motor’s performance with and without the IoT system. In experiments conducted at different load conditions, the IoT-based control system demonstrated overshoot by 25%, an improvement in settling time by 5.0%, and enhanced energy efficiency by 4.61%. The proposed system also showed the ability to generate maintenance alerts, contributing to a 15% decrease in maintenance costs. The latency in communication was maintained below 100 milliseconds, ensuring real-time responsiveness. These results indicate that the IoT-based control system provides more efficient, advanced, and accurate voltage regulation, current regulation, temperature regulation, energy, power, and vibration regulation, with potential for substantial energy savings and operational cost reductions in industrial applications. Generally, IoT-based control of 3-phase induction motor is the most advantageous, to increase efficiency, increase life span, and decrease maintenance cost. The total cost to implement my thesis project is 31,550 Ethiopian Birr. Keywords: Microprocessor, Protection System, Wireless Network Sensor