Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{202468,
author = {Prof.Khalate V.S and Priyanka Gorakh Baravkar and Priti Dattatray Saste and Vaishnavi Satish More and Dr. Shah Saloni Niranjan},
title = {RecipeBowl Ingredient and Recipe Recommendation System},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {7401-7405},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=202468},
abstract = {In today’s fast-paced lifestyle, deciding what to cook with available ingredients is a common challenge. The RecipeBowl system is an intelligent web-based solution that uses Natural Language Processing (NLP) to analyze ingredients entered by the user and recommend suitable recipes, home remedies, and wellness tips. The system enhances user experience by providing step-by-step cooking instructions and integrating YouTube video tutorials for better understanding. It helps reduce food waste, saves time, and promotes a healthy lifestyle by offering personalized and efficient cooking assistance.},
keywords = {},
month = {May},
}
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