Introduction Buildings, bridges, and other civil infrastructure are exposed to ageing, environmental conditions, heavy loads, and unexpected damage. Traditional Structural Health Monitoring mainly depends on periodic inspections and sensor data. However, continuous monitoring is becoming increasingly important for maintaining structural safety. AI-powered Digital Twins provide a smarter approach by creating a continuously updated virtual representation of a physical structure. This technology combines real-time data, sensors, and Artificial Intelligence to help engineers understand structural behaviour and identify possible problems at an earlier stage. AI-powered Digital Twin showing a real bridge connected to a virtual structural model Evolution of Structural Health Monitoring Traditional structural monitoring mainly relied on visual inspections and periodic measurements to identify damage. Later, sensors were introduced to measure vibration, strain, displacement, and temp...