The proposed menu recommender enables service staff to immediately identify a customers status, favorite menus, preference, and consumption record by smart card and utilize the built-in menu recommender to offer optimal menu choices to the customer and pay the bill. To reach this goal, this study integrates smart card, Zigbee, database technologies, technology acceptance model (TAM), and a menu recommender to develop an intelligent e-restaurant for customer centric service. Based on menu materials or meal popularity service staff can provide for new customers and that store the customers preference in the system. This system useful for service providers increase their customer interactions and provide fast and thoughtful services.
8051/PIC Microcontroller,l293d ic,zigbee,power supply,serial comm,lcd 16*2
BE and B.Tech Engineering Students, Diploma Students
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