Tasting Menu Design with Food Pairing and Artificial Intelligence

Yıl 2025, Cilt: 7 Sayı: 2, 159 - 183

Aslıhan Güleç , Firdevs Yönet Eren

https://doi.org/10.51525/johti.1703228

Öz

This study aims to reveal how food pairing, an approach considered innovative in the field of gastronomy, can be integrated with AI-supported tools in the process of creating tasting menus. In the study, the main ingredients were selected based on the scientific aromatic compatibility scores provided by the Foodpairing® application, and a balanced menu consisting of seven items was designed. The menu included two starters, one appetizer, two main courses, one dessert, and one beverage; the selection process was guided by gastronomy literature, fine dining principles, and expert evaluations by researchers. The recipes were conceptualized and enriched in terms of content using ChatGPT, and then visualized using the Lexica.art platform. The findings show that Foodpairing®-based aromatic compatibility scores provide a scientific basis for menu design, while AI tools enhance the visual representation and increase the communication value of the menu. The findings suggest that using the food pairing approach in the early stages of menu planning processes can enable more balanced, creative, and sustainable recipe designs. The study goes beyond traditional intuition-based methods, proposing a data-driven and repeatable menu design process, thereby contributing to both academic literature and practical applications in the gastronomy sector.

Anahtar Kelimeler

Food Pairing , Tasting Menu , Food Pairing App , Artificial Intelligence

Food Pairing ve Yapay Zeka İle Tadım Menüsü Tasarımı

Öz

Bu çalışma, gastronomi alanında yenilikçi bir yaklaşım olarak kabul edilen food pairing (yiyecek eşleştirmesi) yönteminin, tadım menüsü oluşturma sürecinde yapay zekâ (YZ) destekli araçlarla nasıl bütünleştirilebileceğini ortaya koymayı amaçlamaktadır. Araştırmada, ana malzemeler Foodpairing® uygulamasının sunduğu bilimsel aromatik uyum skorları dikkate alınarak seçilmiş ve yedi kalemden oluşan dengeli bir menü tasarlanmıştır. Menüde iki başlangıç, bir ara sıcak, iki ana yemek, bir tatlı ve bir içecek yer almış; seçim sürecinde gastronomi literatürü, fine dining prensipleri ve araştırmacıların uzman değerlendirmeleri yol gösterici olmuştur. Tarifler, ChatGPT aracılığıyla kavramsallaştırılmış ve içerik bakımından zenginleştirilmiş; ardından Lexica.art platformu kullanılarak görselleştirilmiştir. Bulgular, Foodpairing® tabanlı aromatik uyum skorlarının menü tasarımında bilimsel bir temel sunduğunu, YZ araçlarının ise görsel temsili güçlendirerek menünün iletişim değerini artırdığını göstermektedir. Elde edilen bulgular ile food pairing yaklaşımının menü planlama süreçlerinin erken aşamalarında kullanılmasıyla daha dengeli, yaratıcı ve sürdürülebilir tarif tasarımlarının mümkün hale gelebileceğini göstermektedir. Çalışma, sezgiye dayalı geleneksel yöntemlerin ötesine geçerek, veri odaklı ve tekrarlanabilir bir menü tasarım süreci önermekte; böylece hem akademik literatüre hem de gastronomi sektöründeki uygulamalara katkı sağlamaktadır.

Anahtar Kelimeler

Gıda Eşleştirmesi , Tadım Menüsü , Food Pairing Uygulaması , Yapay Zeka

Kaynakça

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