Intelligent Water Management and Dam Automation System Using Deep Learning

The Intelligent Water Management and Dam Automation System utilizes IoT and deep learning to improve dam operations, water management, and structural safety. It integrates microcontrollers with sensors for real-time monitoring of rainfall, water levels, turbidity, temperature, and flow rate. A servo motor-controlled gate mechanism, driven by deep learning models, autonomously regulates water discharge, ensuring efficient flow control and flood prevention.For structural safety, a computer vision-based crack detection model identifies potential weaknesses early. Additionally, water quality assessment and flow rate monitoring optimize discharge operations. In critical situations, such as rising water levels or structural instability, the system sends instant alerts via Telegram for timely intervention.By combining IoT-based monitoring, predictive analytics, and automated control, this scalable and cost-effective system enhances efficiency, disaster preparedness, and sustainable water management, making it a reliable solution for modern dam infrastructures.