SMART CLASSROOM LIGHTNING AND AUTOMATION USING SOME LOCALLY SORT OUT MATERIALS

Traditional classroom lighting systems often lack adaptability and responsiveness, hindering the creation of optimal learning environments. This report presents the development and evaluation of a smart classroom lighting system designed to address these limitations. The system utilizes motion sensors and passive Infrared sensors] to detect the motion of people within the classroom and to check the current status of the classroom lights based on pre-programmed schedules. A mobile app interface allows for user interaction and customization. The project methodology encompassed system design, control algorithm development, user interface creation, prototyping, and performance evaluation. The system was evaluated through energy consumption monitoring, user surveys, and lighting environment measurements. Findings revealed that the smart lighting system led to a reduction in energy consumption, improved user satisfaction with the learning environment, and potential for enhanced student learning outcomes. This report concludes by discussing the system's potential for implementation in educational settings and future research directions.