The degradation of water quality due to increasing anthropogenic activities poses a significant threat to public health and environmental sustainability. Traditional water quality monitoring methods, constrained by intermittent sampling and high costs, fail to provide the continuous oversight needed for timely intervention. This study proposes an innovative framework that integrates Internet of Things (IoT) technology with Artificial Intelligence (AI) to enable real-time water quality assessment. By leveraging IoT-connected sensors and predictive models, the system ensures continuous monitoring and accurate estimation of the Water Quality Index (WQI). Real-time data transmission and analysis facilitate proactive measures, offering a scalable, cost-effective, and reliable solution for water quality management. The findings emphasize the transformative potential of AIoT systems in advancing environmental stewardship and safeguarding public health through smarter, data-driven decision-making.