Cook Smart: An Ingredient-Centric Recipe Recommendation Framework

Abstract

CookSmart is a smart web-based system designed to recommend personalized recipes based on available ingredients entered by users. In today’s fast-paced world, individuals often struggle to decide what to cook with the ingredients they have. Our system solves this problem using Natural Language Processing (NLP) and Machine Learning (ML) to recommend recipes in real time. The user inputs a list of ingredients, and the system searches for the most relevant recipes using similarity matching and displays them along with video tutorials. The goal is to minimize food waste and enhance user convenience through an intelligent, ingredient-centric approach.