Smart Classroom Monitoring System

Abstract

The Smart Classroom Monitoring System is a modern intelligent system designed to automate classroom monitoring and environmental control using Machine Learning, Web Technologies, Mobile Applications, IoT and R Programming. The system uses a laptop camera to detect and count the number of students attending the classroom through machine learning techniques. The project also uses IoT temperature sensors to monitor room temperature and automatically control the fan according to environmental conditions.
The backend of the system processes attendance and sensor data while the frontend developed using web technologies provides a user-friendly interface for monitoring classroom activities. Mobile application support is also integrated for real-time monitoring and access. The collected data is displayed in graphical form using R Programming for analysis and visualization purposes.
The project demonstrates the practical implementation of Machine Learning and IoT concepts in smart educational environments. It helps reduce manual attendance work, improves classroom management, saves electrical energy through automatic fan control, and provides accurate monitoring using real-time technologies. Overall, the Smart Classroom Monitoring System contributes towards the development of smart and automated educational infrastructure.

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