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
- Rupali S. Patil (ORCID: https://orcid.org/0000-0003-3632-7788)
- P.R. Shinde (ORCID: https://orcid.org/0000-0001-6566-1254)
- Swati Jakkan
- Shantanu Ekad
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