I’m pleased to share our recent project: Smart Campus AI System, a comprehensive implementation of multiple Artificial Intelligence techniques integrated into a single automation framework. Throughout this project, we applied a wide range of AI methodologies, including graph search algorithms (BFS, UCS, A)* to optimize campus navigation systems. We further explored Constraint Satisfaction Problems (CSPs) using MRV and Forward Checking heuristics for efficient resource scheduling. In addition, we developed a logic and inference engine for eligibility verification to support decision-making processes within the system. To extend the system’s intelligence, we implemented an Artificial Neural Network (ANN) model for predicting request urgency and designed a custom request routing module to manage system workflow effectively. This project provided valuable hands-on experience in integrating multiple AI concepts into a unified, working system.