MRI
MRI India Journals Vol. 14 No. 1 (2025)

RecipeReveal – Ingredients and Recipe Generation from Food Image

Authors

  • V. G. Bharane Assistant Professor, S. B. Patil College of Engineering
  • Chavan Shrutika Ashish Department of computer Engineering, Savitribai Phule Pune University
  • Davane Vikrant Subhash Department of computer Engineering, Savitribai Phule Pune University
  • Zelli Komal Bharat Department of computer Engineering, Savitribai Phule Pune University

DOI:

https://doi.org/10.65521/ijacect.v14i1.539

Keywords:

Artificial Intelligence Deep learning Image Recognisation NLP CNN

Abstract

Capture, Cook, Create! The project proposes a novel approach for recipe generation from food images using advanced machine learning techniques. By leveraging convolutional neural networks (CNNs) for image classification and natural language processing (NLP) for recipe extraction, the system aims to analyze food images and generate accurate, contextually relevant recipes. The proposed method involves training a deep learning model to identify ingredients, cooking methods, and dish types. This project not only addresses the need for automated recipe generation but also contributes to the fields of computer vision and AI in food technology

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Published

2025-06-01

How to Cite

Bharane, V. G., Ashish, C. S., Subhash, D. V., & Bharat, Z. K. (2025). RecipeReveal – Ingredients and Recipe Generation from Food Image. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 396–399. https://doi.org/10.65521/ijacect.v14i1.539

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