Recipe Finder: A Robust Back-End and Friendly Front-End for Intelligent Meal Planning

Abstract

The rise of the convenience and personalization trend in food preparation has accelerated the creation of intelligent recipe recommendation systems. This research paper proposes the design and implementation of a Recipe Finder Website which allows users to search, filter, and discover recipes based on ingredients, preferences, and dietary restrictions/requirements. The Recipe
Finder Website consists of a user-friendly front-end interface paired with a robust back-end that processes the user inputs and suggests appropriate matches. This paper describes methodologies, issues, and applications for recipe recommendation technologies in contemporary lifestyles.