IoT-Enabled Table Turnover for Dining Experiences with AdaBoost Algorithm

Traditional dining experiences are undergoing a period of transition because of the growing use of Internet of Things (IoT) technologies and machine learning in the restaurant business. This article presents revolutionary IoT-driven technology, intended to maximize the table turnover rate and improve client happiness. The system can gather real-time data on the occupancy status of each table since it places occupancy sensors at each table. This allows for the effective distribution of tables as they become available. model is software that automates table cleaning alerts, staff coordination, and predictive analytics for resource planning. It is designed to connect seamlessly with queue management and point-of-sale (POS) systems. This novel strategy improves the restaurant's efficiency, reduces customers' wait times, and maximizes earning potential during peak hours. The suggested solution offers a chance to change dining venues by combining the capabilities of the IoT with dynamic table management. This will result in a better customer dining experience and improved operational results for companies.