Smart Room Vacancy Status Checking and Booking System

In this work, the smart room system that checks the room vacancy in real-time is proposed. It also provides a web application for managing room reservations. To check the room vacancy in real-time, the loT devices collecting the temperature, the loudness of sound, and the light intensity are used to use as the datasets. These datasets are trained by machine learning to predict whether the room is vacant or not. The experiments are done to evaluate the performance of system prediction and the usage of the web application. The results show that the purposed system has a very high rate for both accuracy rate and Fl-score in room vacancy prediction. In addition, web application also satisfies users for managing the room schedule.