FOOD DELIVERY WITH RECOMMENDATION SYSTEM

Abstract – With the rise of online food delivery platforms, user experience and personalization have become essential. This paper presents a food delivery web application built using the MERN (MongoDB, Express.js, React.js, Node.js) stack, integrated with an AI-based recommendation system The system considers user preferences, dietary needs, health issues, and order history to deliver personalized food suggestions. The proposed model improves customer engagement and satisfaction by employing collaborative filtering techniques.

Keywords: Online food delivery, recommendation system, MERN stack, collaborative filtering, user experience .and MERN Stack, Food Delivery App, AI Recommendations, User Personalization, Diet Preferences, Health Based Suggestions.