All Transformers are vital components of power systems, and their failure can significantly disrupt the balance of the entire system. Damage to transformers is often caused by overcurrent or excessive temperatures. This project aims to monitor the health of distribution transformers in real time to prevent such failures. Key parameters, including current, voltage, temperature, and oil level, are continuously monitored using sensors. The system leverages IoT technology, with a Wi-Fi module transmitting recorded data via the HTTP protocol, allowing remote access from anywhere. By automating this process, the system eliminates human error and enables quick responses to potential issues. Alerts are sent when parameters exceed predefined thresholds, helping prevent critical failures. The solution is scalable, adaptable to varying operational demands, and designed to enhance current monitoring practices. Data visualization and analysis are implemented using platforms such as ThingSpeak, which provides graphical representations of monitored parameters. Notifications are sent through IFTTT protocols, enabling timely and efficient maintenance responses. This real-time monitoring system ensures the reliable operation of distribution transformers, reduces manual intervention and improves overall efficiency. Its cost-effectiveness and versatility make it an ideal solution for modern power systems, offering a proactive approach to transformer health management.