Abstract:
People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food the image we do not have access to its preparation process. Food image to recipe generation is an emerging technology that leverages machine learning and deep learning techniques to automatically generate recipes from food images. Analyzing the visual characteristics of food images, such as presentation, and food image to recipe generation algorithms can generate detailed recipes but also opens up new avenues for culinary creativity and innovation. This project aims to provide a platform that generates cooking recipes from given food images. With the help of this application the user can upload the food image and the application will detect the food type and provide a detailed recipes. This application used Yolo v5 and MobileNet convolutional neural networks in order to classify images of food and accurately identify food types. This food image to recipe generation application provides a valuable tool for food lovers by simplifying the recipe discovery process and helps food lovers break out of their culinary routines and discover exciting dishes to try
