The proposed IoT-based system is used for water quality monitoring utilizing an Artificial Neural Network (ANN). For the predictive maintenance of water, it needs to be monitored regularly to guarantee a safe supply of water from various resources. As a result, designing and developing a low-cost system for real-time water quality monitoring using the Internet of Things (IoT) is essential. The proposed IoT-based system along with the Wi-Fi module continuously monitors the quality of water. The built-in Wi-Fi module enables internet connectivity, which transfers sensor data to the Cloud. Water quality determining parameters like pH, turbidity, temperature, humidity, and dissolved solids are continuously monitored and its information is gathered in real-time. For the real-time water monitoring system, decision support is implemented using Artificial Neural Network (ANN) with forward propagation to classify water into two classes potable and non-potable. The system implementation provides an accuracy of 57.8%.

IoT based system, Artificial Neural Network (ANN), Water quality management, Real Time Monitoring System (RTMS)