For water quality to be maintained in commercial, industrial, and residential settings, water tanks must be kept clean. Conventional cleaning techniques are time-consuming, frequently dangerous, and inconsistently ineffective. Through the use of digital twin technology, this project suggests an automated water tank cleaning system that enables real-time monitoring, predictive maintenance, and tank cleaning process control. The Digital Twin is a computerized model of the actual water tank and cleaning equipment that continuously monitors the tank's condition by measuring things like sediment buildup, turbidity, and water level. Through the integration of data-driven algorithms and Internet of Things sensors, the system allows for remote control and the creation of ideal cleaning schedules based on current conditions. This automation minimizes the need for manual intervention, conserves water, and guarantees consistent hygiene standards, offering a practical, economical and sustainable solution for water tank maintenance.