INTELLIGENT FOOD ADVISORY AND ORDERING SYSTEM

Student: Lapnen Doyo Ishaya
Supervisor: Dr Rilwan Ali Zira
HOD: Mr Muhammed Kuliya
Department of Computer Science
School of Science and Technology
Federal Polytechnic, Bauchi, Bauchi State

Abstract

ABSTRACT The Intelligent Food Advisory and Ordering System is a smart, user-centric platform designed to revolutionize the way individuals discover, select, and order meals. By integrating artificial intelligence, nutritional science, and real-time data analytics, the system offers personalized food recommendations tailored to users’ dietary preferences, health goals, allergies, and cultural tastes. It leverages machine learning algorithms to analyze user behavior and feedback, ensuring continuous improvement in suggestion accuracy and satisfaction. Unlike traditional food ordering platforms, this system does not facilitate transactions or restaurant connections. Instead, its core function is to serve as a virtual advisor, guiding users toward nutritionally balanced and context-aware food selections. The project aims to promote wellness and informed eating habits by combining intelligent automation with user-centric design. 

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