This project develops the second phase of an intelligent library noise management system. It aims to use IoT sensors, machine learning, and edge computing to classify sound patterns and support adaptive interventions in university library study rooms. The system is designed to improve the academic environment by supporting quiet study spaces while also serving as a practical IoT education platform.