FridgeSnap: A software for recipe suggestion based on food image classification

Liam Boyd, Nonso Nnamoko*

*Corresponding author for this work

Research output: Contribution to journalArticle (journal)peer-review

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Abstract

Food waste is a global issue, affecting both consumers and producers, with heavy economical and environmental impact. This paper presents FridgeSnap, a tool based on image classification that has the potential to help reduce the global food waste. The tool receives as input, images of singular food items taken from users’ electronic device such as mobile phone or tablet, then identifies the constituent food item through an underlying deep learning model before suggesting possible recipes that can be made with the food item. The application was built within the Android Studio IDE using Java programming languages and XML, thus works on Android devices. A potentially shippable version of the FridgeSnap including source code and the android application package (APK) file, is freely available on Github
Original languageEnglish
Article number100585
Pages (from-to)1-5
JournalSoftware Impacts
Volume18
Early online date26 Sept 2023
DOIs
Publication statusPublished - 30 Nov 2023

Keywords

  • Android application
  • Deep learning
  • Food waste
  • Image classification
  • Recipe recommender

Research Centres

  • Data and Complex Systems Research Centre

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