AR-Driven Intelligent Food Ordering System

Abstract

Conventional restaurant menus mainly depend on fixed images and text descriptions, providing consumers with very little information regarding the real look, size, and ingredient composition of the food. Such restrictions often lead to the ordering of the wrong dish, lack of proper communication, and dissatisfaction, which, in the case of individuals with food restrictions or allergies, may reach a considerable level. This study proposes a complete three-dimensional (3D) menu system based on augmented reality (AR) and integrated with web technologies to renovate the dining experience. The system employs technologies such as Three.js, React.js, AR.js/8thWall, Node.js, and MongoDB to offer real-time 3D dish previews, allergen-aware filtering, multilingual options, QR-based table mapping, and live order tracking. Customer decision-making, engagement, and ordering accuracy were significantly enhanced as measured by the experimental evaluation. In addition, the system is a smart restaurant and digital hospitality platform solution that can be scaled up.