International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 05 | May 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 324 Smart Classroom Monitoring using Machine Learning and IoT Niveditha S 1 , Anushree N D 2 , Chaithra Shree A V 3 , Likhitha M C 4 , Yogitha R 5 1 HOD and Assistant Professor , Department of Computer Science and Engineering, Jnana Vikas Institute of Technology, Karnataka, India 2 Undergraduate Student, Department of Computer Science and Engineering, Jnana Vikas Institute of Technology, Karnataka, India 3 Undergraduate Student, Department of Computer Science and Engineering, Jnana Vikas Institute of Technology, Karnataka, India 4 Undergraduate Student, Department of Computer Science and Engineering, Jnana Vikas Institute of Technology, Karnataka, India 5 Undergraduate Student, Department of Computer Science and Engineering, Jnana Vikas Institute of Technology, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Students are more willing to adopt creative teaching techniques and demand innovative university campus life in this era of smart classroom technologies. IoT and cloud computing technologies can offer solutions for a smart and sustainable campus to enhance students' learning processes and boost the effectiveness of routine tasks carried out within the institution. This project focuses on integrating the cloud into the educational process using the IoT paradigm. IOT in education enables students to study cutting-edge technologies that aid in the development of fresh concepts and rational solutions to societal challenges. Using online portals, PDA users can view their homework assignments and test results. Online video lectures allow students to remotely join in on class lectures thanks to the ability to upload videos to the cloud. Information sent to and from sensor modules is processed by the software module before being sent to cloud storage. Key Words: microcontroller board, sensor, wireless and wired interfaces, software module, cloud storage. 1.INTRODUCTION Universities have recentlybegun to focus on Internet of Things and cloud computing to create smart campuses. A SmartCampus connects many peripherals,infrastructure, and facilities to provide smart lighting, security, tracking, and effective use of resources like manpower, electricity, water, etc. According to the traditional classroom model, managing the classroom's daily operations and teaching must take up equal amounts of time. Tohandle the workflow that drastically reduces the amount of time faculty have to devote to It extends the amount of time spent instructing and interacting with students. This project demonstrates a technique that uses cloud computing, IoT, and an application development platform to lessen secondary human labour. Additionally, it has automatic fan and light on/off functions that are based on the ambient conditions. With this approach, teachers wereable to concentrate more on what they do best— teaching—and less on running the classroom's daily operations. 2.LITERATURE SURVEY 2.1 Services Computing System Based on Smart Classroom Published in: ICT for Smart Society 2019 International Conference (ICISS)) Abstract : In order to give its learning methods using AI- based technology, a smart classroom blends traditional and correspondence learning. Its goal is to support both synchronous and asynchronous learning. In order for teachers and students to apply a variety of teaching strategies, engage in active learning, and share knowledge, the smart classroom also makes use of the connectivity of smart devices. 2.2 Smart classroom: A universal classroom's entrance design Published in: 2014 International Conference on Web and Open Access to Learning (ICWOAL) Abstract: Today new techniques and researches in computers helped us to shift from conventional education to smart classroom. The pupils should be able to cooperate with one another using laptops, tablets, or other technology. 2.3 Automatic Light Switching and Temperature based fan speed control using microwave. temperature and LDR sensor. Published in: 2021 International Research journal of Engineering and Technology(IRJET). Abstract: Because it provides necessities, comforts, and conveniences, energy use has decreased; as a result, we dislike its use The approach for automatic lighting system