A Smart IoT-Based System for Real-Time RO Water Quality Monitoring

Abstract

Water is an essential resource for life, and the health of all living things, including humans, is directly impacted by its quality. Effective water quality monitoring is essential when pollution levels rise because manual testing is frequently impractical for daily use. Using the Internet of Things (IoT) in conjunction with machine learning to provide real-time water-quality analysis and prediction is a promising strategy. This study suggests developing an IoT sensor-driven water quality monitoring system specifically for RO water purifiers. Providing clean and safe drinking water is the system's main goal, especially in high-use environments like houses and schools. It sends timely messages to users when filters need to be replaced, automating the monitoring process. This method improves health outcomes and promotes environmental sustainability by increasing user awareness and decreasing the risks associated with postponed maintenance.