Jakkan, Swati and Susar Patil, Rupali and Ekad, Shantanu and Shinde, Pranjali (2025) Innovations in Recipe Generation and Ingredient Substitution: A Survey on RAG and Generative AI Approaches. International Journal of Innovative Science and Research Technology, 10 (3): 25mar1460. pp. 2117-2122. ISSN 2456-2165

[thumbnail of IJISRT25MAR1460.pdf] Text
IJISRT25MAR1460.pdf - Published Version

Download (345kB)

Abstract

The Recipe Generation and Ingredient Substitution System redefines the cooking experience by offering personalized recipe suggestions and intelligent ingredient substitutions tailored to user preferences, dietary needs, and available ingredients. Leveraging advanced Large Language Models (LLMs) integrated with Retrieval-Augmented Generation (RAG), the system processes natural language inputs to retrieve relevant recipes or generate customized recipes with precision. Its robust ingredient substitution mechanism evaluates alternatives through a scoring framework that considers flavor profiles, texture, functionality, and compatibility, ensuring that substitute ingredient maintain the dish’s integrity and quality. By incorporating flavor profile analysis, the system ensures substitutions preserve the harmony of tastes, enhancing both the quality and enjoyment of meals. The system is designed to empower novice and experienced cooks, the system transforms kitchen challenges into opportunities for exploration, enabling confident and innovative meal preparation.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 07 Apr 2025 10:08
Last Modified: 07 Apr 2025 10:08
URI: https://eprint.ijisrt.org/id/eprint/297

Actions (login required)

View Item
View Item