RECIPE GENERATION BASED ON FOOD IMAGE USING MACHINE LANGUAGE

RECIPE GENERATION BASED ON FOOD IMAGE USING MACHINE LANGUAGE

 Lekhaa.T .R1, Kiruthicksan. B*, Narendrakumar. V*, Thanush Balaji. V*,Hari Prasath. D*

Assistant Professor1, Student*,

Department of Information Technology, SNS College of Engineering Coimbatore, India.

kiruthick.b.it.2020@snsce.ac.in, narendr.v.it.2020@snsce.ac.in, thanush.v.it.2020@snsce.ac.in, haripras.d.it.2020@snsce.ac.in

ABSTRACT: Recipe generation based on food images using machine learning (ML) is an emerging area that combines computer vision and natural language processing techniques to automatically generate recipes from images of dishes. This paper proposes a novel approach to address this problem by developing a deep learning-based system capable of recognizing ingredients and cooking methods from food images and generating coherent recipe texts. The system aims to assist home cooks, culinary enthusiasts, food bloggers, and businesses in discovering and creating new recipes from visual cues.

KEYWORDS: Recipe generation, food image recognition, machine learning, computer vision, natural language processing, Recipe generation model, Cooking automation, Recipe inference, Ingredient detection, Recipe understanding, Computer vision for cooking, Recipe composition, Culinary content generation