RECIPE DESIGN USING ARTIFICIAL INTELLIGENCE

Abstract

The article provides an overview of modern recipe design tools using artificial intelligence. The ability to understand, capture attention and translate consumer requirements into the chemical and physical properties of the final product remains one of the biggest challenges in the food industry. As a result, new ways to support food design are needed. Modern applications in food development using artificial intelligence and machine learning, including available resources, and their relationship with the concept of reverse engineering, provide new opportunities for the development of a new concept in food design. Food product development and formulation involve complex processes, and many design parameters must be considered when developing formulation generation approaches. Most of the approaches identified are based on the relationships between ingredients, with less emphasis on functional properties. Data representation remains a real challenge and a very important research gap towards creating a feasible and applicable concept for digital food design, and the most commonly used general methods are those based on deep learning.