Indian cuisine analysis

  • Dr. Pankaj Agarkar Ajeenkya D Y Patil School of Engineering Pune, India
  • Onkar Ghodke Ajeenkya D Y Patil School of Engineering Pune, India
  • Shruti Jogdand Ajeenkya D Y Patil School of Engineering Pune, India
  • Snehal Kolse Patil Ajeenkya D Y Patil School of Engineering Pune, India
  • Shrivardhan Ambekar Ajeenkya D Y Patil School of Engineering Pune, India
Keywords: Food dish Analysis, Classification of Indian food, Power BI, Machine learning, Web interface for generating ingredients of dish

Abstract

Indian cuisine is diverse and rich, with regional variations in ingredients, preparation styles, and taste preferences. This project aims to analyze Indian recipes using data science and machine learning techniques to uncover patterns related to regional cuisines, nutritional information, ingredient popularity, and recipe clustering. By utilizing various visualization and classification models, this study helps understand how different factors influence Indian food. The results can be useful for culinary businesses, health-conscious individuals, and cultural researchers.

Author Biographies

Dr. Pankaj Agarkar, Ajeenkya D Y Patil School of Engineering Pune, India

Department of Computer Engineering

                                                  

Onkar Ghodke, Ajeenkya D Y Patil School of Engineering Pune, India

Department of Computer Engineering

                                                  

Shruti Jogdand, Ajeenkya D Y Patil School of Engineering Pune, India

Department of Computer Engineering

                                                  

Snehal Kolse Patil, Ajeenkya D Y Patil School of Engineering Pune, India

Department of Computer Engineering

                                                  

Shrivardhan Ambekar, Ajeenkya D Y Patil School of Engineering Pune, India

Department of Computer Engineering

                                                  

Published
2025-04-30
Issue
Vol 8 No 04 (2025): IJO -INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND ENGINEERING (E:ISSN: 2814-1881) (P.ISSN: 1595-935X)
Section
Articles
Copyright (c) 2025 IJO -International Journal Of Computer Science and Engineering (E:ISSN: 2814-1881) (P.ISSN: 1595-935X)

Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJO Journal will have the full right to remove the published article on any misconduct found in the published article.