AI and IoT-assisted Water Quality Monitoring and Prediction

This research provides a strong and all-inclusive solution by utilizing the capabilities of Internet of Things and Artificial Intelligence (AI) technologies for water quality prediction. The system uses an Arduino that is integrated with Temperature, Turbidity, pH, total dissolved solids, and LCD sensors to record water quality data in real time. Cloud connectivity is provided via ESP8266, which allows the collected data to be sent to the cloud in an efficient manner. Here, the prediction of water quality levels is made possible by a Python script that uses AI techniques to compare the real-time data with an existing dataset. Over time, the prediction model adjusts and improves, guaranteeing accuracy. Following visualization, the data is shown in real-time on ThingSpeak, offering a simple and approachable platform for tracking trends in water quality. This integrated system is a sustainable method of using technology for environmental monitoring and prediction, while also improving the effectiveness of water resource management.