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Virtual IOT Based Smart Classroom Occupancy and Energy Monitoring System using Data Analytics

THOMNIC LITHVINA S 1
Department of Computer Science –PG
Kongunadu Arts and Science College
Coimbatore, India.
IMMACULATE A 2
Assistant Professor, Department of Computer Science –PG
Kongunadu Arts and Science College
Coimbatore, India.

ABSTRACT:An Internet of Things (IoT)-based virtual automation project called the Smart Classroom Occupancy and Monitoring System was created to enhance environmental monitoring, energy efficiency, and classroom management in educational settings. Using virtual IoT devices, the system seeks to automatically identify classroom occupancy and track environmental factors like temperature and device status. The concept offers a clever way to cut down on energy waste and improve classroom comfort without the need for human interaction by combining sensors, automation, and data analytics.In order to replicate IoT-enabled devices like motion sensors, temperature sensors, smart lights, and smart fans in a classroom setting, the system is developed using Cisco Packet Tracer. A home gateway connects these devices, allowing for automation and real-time communication. The system automatically turns on the required equipment when occupancy is detected, and it turns off electrical appliances to save energy when the classroom is vacant. The indoor climate is kept comfortable for teachers and pupils thanks to temperature-based automation. Microsoft Excel is used for organized data storage and preprocessing of the environmental and device status data gathered from the simulation. After that, Microsoft Power BI Desktop imports the dataset to produce analytical reports and interactive dashboards. Data-driven decision making is made possible by the visualizations' assistance in comprehending occupancy trends, temperature fluctuations, and power usage patterns across time. All things considered, the Smart Classroom Monitoring System shows how IoT and business intelligence tools may be used practically in managing educational infrastructure. In addition to automating classroom operations, the project offers analytical insights that can facilitate future development into a full Smart Campus Monitoring System that encompasses seminar halls, labs, and other academic buildings.

KEYWORDS:Smart Classroom, Internet of Things (IoT), Occupancy Detection, Environmental Monitoring, Smart Campus,Classroom Automation, Temperature Monitoring, Motion Sensor, Energy Management, IoT-based Monitoring System,Data Visualization, Smart Infrastructure.