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MRI India Journals Vol. 14 No. 2s (2025): Special Issue: ICAESRTA-2K25

AI Driven Personalized Recipe Generator

Authors

  • Shital Waghmare Computer Science and Engineering YTC, Satara, India
  • Namrata Pawar Computer Science and Engineering YTC, Satara, India
  • Ankita Sanas Computer Science and Engineering YTC, Satara, India
  • Vaishnavi Mahamulkar Computer Science and Engineering YTC, Satara, India
  • Neha Kumbhar Computer Science and Engineering YTC, Satara, India

DOI:

https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1458

Keywords:

Artificial intelligence NLP Impact of AI technologies Recipe generation

Abstract

The study aims to investigate the use of AI in the culinary arts, particularly the creation of new recipes from pre- existing ones. The article provides a comprehensive overview of the history of artificial intelligence in the culinary arts as well as current uses in the recipe creation space The authors encountered a variety of recipe and cuisine-specific suggestions. None, though, concentrated on Recipe Generation, which would be a novel area to investigate. The promise of artificial intelligence (AI) approaches to automate and improve culinary inventiveness has drawn a lot of attention to recipe generation in recent years. An overview of the most recent techniques and difficulties in AI-based recipe generating is given in this article. Natural language processing (NLP) models and recommender systems for recipe development are among the methods we cover Along with ethical issues in formulation development, key challenges such component combinations, cultural sensitivity, and incorporating user feedback are addressed. We also look at the possible effects of AI technology on the culinary industry as well as future research opportunities.

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Published

2025-12-11

How to Cite

Waghmare, S., Pawar, N., Sanas, A., Mahamulkar, V., & Kumbhar , N. (2025). AI Driven Personalized Recipe Generator. International Journal of Recent Advances in Engineering and Technology, 14(2s), 204–209. https://doi.org/10.65521/intjournalrecadvengtech.v14i2s.1458

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