Culinary Curator: An AI-Powered Recipe Assistant

In today’s data-driven world, the intersection of artificial intelligence, natural language processing(NLP) and Computer Vision(CV) has given rise to innovative solutions in various domains. One intriguing application area is recipe generation, thus this research proposes the Culinary Curator, a novel culinary assistant that utilizes AI, NLP and CV to simplify meal planning and promote healthier eating choices. This study presents a comparative analysis of five distinct models for recipe recommendation and two models for ingredient recognition. Through rigorous evaluation and performance metrics, this study offers insights into the effectiveness of these models. These findings contribute to the selection of the best AI models for promoting optimal utilization of ingredients available at user’s hand, thereby reducing wastage as well as enhancing culinary experiences. This research informs the development of AI-powered recipe recommendation systems and underscores the significance of model choice in achieving accuracy and efficiency.