Innovations in Recipe Generation and Ingredient Substitution: A Survey on RAG and Generative AI Approaches

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.

Authors

Publication Details

Published
2025-04-05
DOI
https://doi.org/10.38124/ijisrt/25mar1460
Citations
2
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
4.96
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article

Innovations in Recipe Generation and Ingredient Substitution: A Survey on RAG and Generative AI Approaches

Rupali S. Patil, P.R. Shinde, Swati Jakkan, Shantanu Ekad
2 citations
Artificial Intelligence in Games
4.96
article

Innovations in Recipe Generation and Ingredient Substitution: A Survey on RAG and Generative AI Approaches

Rupali S. Patil, P.R. Shinde, Swati Jakkan, Shantanu Ekad
article en
2 citations

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.

Openalex Percentile: Top 6%
Artificial Intelligence in Games
4.96
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Innovations in Recipe Generation and Ingredient Substitution: A Survey on RAG and Generative AI Approaches — Rupali S. Patil, P.R. Shinde, et al. · (2025) | TGRS Research Map | TGRS