AI-Based Smart College Monitoring and Alert System

Although campus safety and discipline management are crucial duties in educational institutions, traditional monitoring techniques mainly rely on staff supervision by hand, which frequently leads to delays, oversight, and decreased efficiency. This project presents an AI-Based Smart College Monitoring and Alert System that offers automated real-time surveillance for student activities and emergency situations in order to get around these restrictions. By recognizing student gestures and screen illumination patterns, the system employs camera-based AI models to identify unapproved mobile phone usage during class hours. In order to help maintain classroom discipline without the need for constant manual monitoring, an instant alert message is automatically sent to the relevant class teacher once it is detected. The system also includes an intelligent fire detection module that examines visual indicators like flame and smoke patterns. The college administration receives an instant warning message in the event of a fire to facilitate quick action and safety precautions. For transparency and review, all monitoring outcomes, alerts, and system actions are recorded and accessible via a central dashboard. All things considered, the suggested system guarantees faster decision-making through AI-driven automation, improves campus safety, and lessens staff workload.