The document proposes an IoT-based real-time monitoring system for solar power plants using an artificial neural network to maximize efficiency. The system collects data from sensors on the photovoltaic panels to monitor temperature, dust, rain and detect faults. If a panel is found to be degraded or faulty, the monitoring system can identify it for maintenance. The goal is to keep the solar panel system in optimal condition to reliably harness energy efficiently through continuous remote monitoring.