From Michelin-Starred Chefs to Artificial Intelligence: Exploring the Potential of Artificial Intelligence in Recipe Generation

Abstract

Cooking and food preparation have a long history and are essential for physical and emotional health. Creativity plays a role in the cooking process and can be seen as a creative activity that considers individual preferences and available ingredients and tools. Artificial Intelligence has the potential to revolutionize the field of creative recipe generation, but current research has not resulted in satisfactory outcomes. The goal of this Master’s Thesis is to develop a computer program using Artificial Intelligence (AI) and its subcategories, such as Machine Learning and Deep Learning, to generate novel recipes with easy-to-follow cooking instructions. The proposed Recipe Generator will be guided by the innovation process of Michelin-starred Chefs, as described by Ottenbacher and Harrington (2007). The contribution of the author in the Master Thesis includes a working Recipe Generator, a Named Entity Recognition system, and a structured recipe dataset.