Розробка кулінарного асистенту на основі штучного інтелекту

Abstract

This paper considers the development of an artificial intelligence-based culinary assistant. The proposed system is intended to help users generate recipes from available ingredients, photos, and text queries. Special attention is paid to the combination of computer vision and natural language processing methods. The assistant can identify products, analyze user preferences, and produce structured cooking recommendations. The relevance of the study is determined by the growing demand for personalized digital tools in everyday life. The developed approach is aimed at simplifying meal planning and improving the convenience of recipe search. A modular system architecture is proposed to ensure scalability, flexibility, and further functional expansion. The expected practical result is a user-oriented application that supports fast and adaptive culinary decision-making.