An important area for social advancement, economic expansion, and environmental integrity is water resources. To satisfy the demands of IoT-based quality monitoring, distribution, and water requirements, an innovative approach is presented. This study presents an Internet of Things (IoT)-enabled Water Resource Management and Distribution Monitoring System (IWRM-DMS) for use in rural cities. It uses sensors, gauge meters, flow meters, ultrasonic sensors, and motors. In order to reduce water demand, research suggests that the IWRM-DMS determines the rural water demand and the water supply system. A variety of sensors, including flow meters; pH, water pressure, and flow sensors; and ultrasonic sensors, are included in the suggested system. The village's need for residential water is met by the creation of this water system. The decision support system's demand prediction is made possible by machine intelligence. The outcomes of the simulation validate that the suggested framework may be applied in situations that occur in real life. In comparison to other widely used methods, the proposed IWRM-DMS has been designed to analyze water quality in order to ensure that water distribution in a rural area is achieved with a lower MAPE (20.84%) and RMSE (16.21%), improve efficiency (96.53%) and reliability (97.83%), and enhance predictions (96.45%), the overall performance (95.75%), the moisture content ratio (8.6%), and the cost-effectiveness ratio (96.9%).