Meal Magic: An Image-Based Recipe-Generation System

The growing popularity of food photography on social media platforms has seen a surge in demand for recipe ideas and cooking inspiration. However, creating a recipe from scratch can be a daunting task, especially for someone with little cooking experience. To address this issue, our study proposes Meal Magic, a web-based image-to-recipe generator that generates recipes from the images of dishes. The image-based recipe creation system employs Inception v3, a Convolutional Neural Network (CNN) that achieves an accuracy of 78.1% when applied to the ImageNet dataset. It has a more efficient and deeper network and is computationally less expensive than the Inception v1 and v2 models. When compared to its predecessors, the model has an extremely low error rate. The web-based application is designed to be user-friendly, allowing users to simply upload an image of a dish that they wish to recreate and receive a recipe in return. As a result, it saves users’ time and streamlines the recipe creation process by eliminating the need for manual ingredient searching and recipe browsing. The image-to-recipe generator has many potential applications, including assisting home cooks in meal planning and aiding chefs in creating new recipes. Overall, this system represents a promising approach to the generation of recipes that has the potential to transform the way we approach cooking and recipe creation.