9th International Conference on ICT for Sustainable Development

Authors - Vedika Patil, Vishal Patil, Rutuja Yadav Patil, Akanksha Mhaske, Atharva Fulari, Chetan Pawar
Abstract - Traditionally, restaurant service has been reactive, requiring direct interaction with waitstaff. However, an ideal service prioritizes the customer, proactively identifying their preferences and history to deliver personalized recommendations. This paper explores the integration of various machine learning algorithms to develop an intelligent e-menu system that achieves this goal. The research delves into the rise of "Smart e-Menu" systems utilizing Artificial Intelligence (AI) for food recommendations. We provide an overview of various AI techniques, their applications, and their impact on customer satisfaction, operational efficiency, and revenue generation within the food service sector. Additionally, we review significant works in the field of menu digitization and food recommendation systems. This study contributes to the understanding of how AI-powered e-menus can personalize the dining experience, ultimately leading to increased customer satisfaction, operational efficiency, and revenue generation for restaurants