Creating plate images with artificial intelligence; examples of molecular gastronomy products

Abstract

In this study, it is aimed to create new recipes with artificial intelligence using chemical products used in molecular gastronomy and then to visualise these recipes. It is important for chefs and researchers to use artificial intelligence in the field of gastronomy and thus create new recipes, menus and plate designs. Document analysis, a qualitative research method, was used in the research. Within the scope of the study, the basic chemical products used in molecular gastronomy were determined. The determined chemical products were entered in the artificial intelligence chat section, and a recipe was asked to be created with these chemicals. It is stated that visuals will be created by artificial intelligence from the created recipes. Bing Co-pilot, powered by OpenAI, and Grok interfaces, supported by X, were utilised for AI-driven visual generation. The results demonstrate that artificial intelligence can be used to create basic molecular gastronomy recipes and visuals. Furthermore, a comparison was conducted between the visual outputs of two different systems. The recipes generated are not standardised and vary each time depending on the queries entered into the system. Nevertheless, the recipes and visuals are produced in a manner that can assist chefs and researchers effectively.