Abstract
Food plays an important role in our everyday lives and in many ways dictates our health and experience. For every meal, there is an associated story, that is the process of preparation, which cannot be assessed just by looking at the meal. The paper presents a system to generate recipes given the images of food items. The intent of the paper is to empower people to better understand their food intake and achieve their health goals. The objective is to create a framework that acknowledges a picture of a food item as information and yields firmly related recipes, which will comprise the title of the dish, the ingredients required to prepare that dish and the cooking instructions. The user can upload a picture of any food item to the application and get corresponding recipe details based on the distinguished proof of the food image done by the system.
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Desai, A.R., Goel, S., Karennavar, T., Kanwal, P. (2022). Instant Recipe Generation from Food Images. In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1420. Springer, Singapore. https://doi.org/10.1007/978-981-16-9573-5_52
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DOI: https://doi.org/10.1007/978-981-16-9573-5_52
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