RecipeReveal – Ingredients and Recipe Generation from Food Image

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V. G. Bharane
Chavan Shrutika Ashish
Davane Vikrant Subhash
Zelli Komal Bharat

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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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. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/539
Section
Articles

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