HICCUP'S: DESIGN AND DEVELOPMENT OF AN AI-INTEGRATED ONLINE FOOD DELIVERY AND MANAGEMENT SYSTEM

This paper presents the design, development, and evaluation of HICCUP'S — an AI-integrated, standalone web
based food delivery and management system combining real-time order processing, restaurant operations 
management, and computer-vision-powered nutritional analysis within a unified platform. Unlike aggregator
based delivery applications, HICCUP'S operates its own kitchen and delivery infrastructure, enabling end-to
end quality control, hygiene standardization, and brand consistency. The system is built on React.js, 
Node.js/Express.js, and MongoDB/MySQL, augmented by TensorFlow.js and OpenCV for AI-powered food 
recognition, with nutritional data sourced from the USDA FoodData Central database. The platform 
encompasses five primary modules: Customer, Admin/Restaurant, Delivery, AI Nutritional Analysis, and 
Reporting/Analytics. Comprehensive unit, integration, and user acceptance testing validates functional 
correctness, performance, and usability. The research demonstrates that integrating nutritional intelligence 
with food delivery services addresses a critical market gap for health-conscious consumers while improving 
operational efficiency for restaurant operators.