Towards A Novel Approach For Designing Smart Classrooms

This project proposes an innovative smart classroom model integrating IoT-based automation and monitoring systems to enhance classroom efficiency, safety, and comfort. Utilizing a DHT11 sensor, the system monitors ambient temperature, activating a CPU fan when temperatures exceed a defined threshold. An LDR (Light Dependent Resistor) is employed to detect ambient light levels, automatically switching on LED lights when insufficient lighting is detected. Fire safety is ensured through a flame sensor that triggers a buzzer alarm in the event of a fire. An ultrasonic sensor is used to count the number of students entering and exiting the classroom, providing real-time occupancy data. All sensor data, including temperature, light status, fire alerts, and student count, are continuously uploaded to the ThingSpeak cloud platform via a NodeMCU module for remote monitoring and analysis. An LCD display connected to an Arduino provides real-time status updates within the classroom, making the system interactive and informative. This integrated setup offers a scalable and cost-effective solution towards the development of smart, automated classrooms.