This paper explores the use of Artificial Intelligence (AI) for predicting the structural health of civil engineering infrastructure. Emphasizing the transformative impact of AI, the study discusses real-time monitoring, predictive maintenance, and risk assessment using machine learning and deep learning. A writing survey features important examinations, and the main goal is the improvement of an AI-based Underlying Wellbeing Checking system. The system employs distributed software agents and a hybrid intelligence approach, integrating Conventional AI and Computational Intelligence methods. The paper concludes by emphasizing the innovative application of AI in enhancing structural safety and reducing maintenance costs.