Optimizing Restroom Resources: A Smart Toilet Paper Dispensing System using Reinforcement Learning Algorithm

Public restroom resource management may be enhanced with the help of the study's innovative proposal. Using IoT and RL-based technology, a system is put in place to deal with the ongoing issue of insufficient toilet paper supply in public restrooms. Through the use of Internet of Things (IoT) sensors embedded in the dispensers, the system continuously assesses the stock of toilet paper and transmits that data to a central control platform. An automatic reordering mechanism is initiated to streamline the process of distributing extra supplies when the quantity of toilet paper reaches a certain level. This article delves into the smart bathroom system's design, implementation, and benefits. It addresses the potential operational efficiency, savings, and user convenience that may result from reducing the number of human checks required and the number of disruptions caused by empty dispensers. It also highlights the system's commitment to sustainability and resource conservation initiatives. By suggesting an achievable approach to the management of bathroom resources based on the Internet of Things, this research adds to the optimization of public facilities. This method decreases operating costs while also improving user experiences.