Fridge Images To Recipe Generation

Abstract

Food waste is a worldwide problem that has a significant influence on both the economy and the environment. It is a problem that affects both consumers and producers. This article introduces FridgeSnap, a technology that is based on picture categorization and has the potential to assist in reducing the amount of food that is wasted throughout the world. Following the identification of the component food item by an underlying deep learning model, the tool then suggests various recipes that may be produced with the food item. The tool gets as input photographs of individual food items that are obtained from the electronic device of the user, such as a mobile phone or tablet. Because it was developed using the Android Studio integrated development environment (IDE) utilizing Java programming languages and XML, the application is compatible with Android devices. There is a version of FridgeSnap that is publicly accessible on Github. This version includes the source code as well as the android application package (APK) file. It has the potential to be shipped.