To harness reliable energy efficiently, the photovoltaic string system must remain in its best condition. This requires continuous maintenance and monitoring. However, in the case of weather dependable energy yield change. We proposed a novel real-time monitoring system utilizing a small but efficient artificial neural network that is adequate to run on a low-cost system. To get the desired electrical output in various environmental conditions, it is required to analyze the faulty, or shaded, or dust-covered string, and maintain it with an intelligent monitoring system. The proposed string monitoring system can identify if the string exhibit degradation due to fault conditions.