PRE2023 3 Group6

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Foodini

Group members

Name Student number Study E-mail
Sem van Birgelen 1813862 Industrial Design s.v.birgelen@student.tue.nl
Manka HuszĂĄr 1581368 Computer Science and Engineering m.huszar@student.tue.nl
Aydan Bakhshi 1671189 Applied Physics a.bakhshi@student.tue.nl
Yi Hang Cheung 1014298 Computer Science and Engineering y.h.cheung@student.tue.nl
Bohao Ye 1809903 Computer Science and Engineering b.ye1@student.tue.nl
Vlad Chibulcutean 1780980 Computer Science and Engineering v.chibulcutean@student.tue.nl

Introduction

Problem Statement

37% percent of food is wasted in households in the US[1], and in the EU, households generate more than half of the total food waste (54%)[2]. The causes of food waste could be food expiration, overshopping, and often these relate to poor meal planning and insufficient food management skills.

Objectives

  • Create an app that suggests recipes based on the contents of the user's fridge;
  • Investigate how technology can be used to combat food waste. More specifically:
    • How much food is wasted in households;
    • What are the main reasons for food waste;
    • How to prevent food waste;
    • What would be a convenient way for users to keep oversight of fridge contents;
    • What incentives could be used to motivate consumers to prevent food waste
    • How AI can assist in preventing food waste
    • Check other recipe suggesting apps / websites, what features would be useful to add / what's missing.

Users & Requirements

Users

Adults in households, possibly restaurants and grocery stores.

App requirements

Basic features:

  • Firebase account login
  • Inventory:
    • Shopping list
    • Edit list
    • Expiry date (barcode)
  • Recipe suggestions based on:
    • Inventory
    • Expiry dates
    • [Optional] Cuisine (Italian, Asian, Mexican, etc.)
    • [Optional] Preparation time

Extra features:

  • Look at local supermarkets for ingredients about to expire and, if possible, include them in recipes against discounted price (Analogous to "To Good To Go");
  • Scan the barcode of the product to add it to the list automatically.

Literature study

Schanes, K., Dobernig, K., & Gözet, B. (2018). Food waste matters - A systematic review of household food waste practices and their policy implications. Journal Of Cleaner Production, 182, 978–991. https://doi.org/10.1016/j.jclepro.2018.02.030


Ishangulyyev, R., Kim, S., & Lee, S. H. (2019). Understanding Food Loss and Waste—Why are we losing and wasting food? Foods, 8(8), 297. https://doi.org/10.3390/foods8080297

  • Definitions of food loss and food waste, quantification, causes of food loss and waste at different stages of the food supply chain.


Moraes, N. V., Lermen, F. H., & Echeveste, M. E. S. (2021). A systematic literature review on food waste/loss prevention and minimization methods. Journal of Environmental Management, 286, 112268. https://doi.org/10.1016/j.jenvman.2021.112268


Muth, M. K., Birney, C., CuĂ©llar, A., Finn, S. M., Freeman, M., Galloway, J. N., Gee, I. M., Gephart, J. A., Jones, K., Low, L., Meyer, E., Read, Q. D., Smith, T. A., Weitz, K., & Zoubek, S. (2019). A systems approach to assessing environmental and economic effects of food loss and waste interventions in the United States. Science of the Total Environment, 685, 1240–1254. https://doi.org/10.1016/j.scitotenv.2019.06.230


Cane, M., & Parra, C. (2020). Digital platforms: mapping the territory of new technologies to fight food waste. British Food Journal, 122(5), 1647–1669. https://doi.org/10.1108/bfj-06-2019-0391


Onyeaka, H., Tamasiga, P., Nwauzoma, U. M., Miri, T., Juliet, U. C., Nwaiwu, O., & Akinsemolu, A. A. (2023). Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource Efficiency and Minimising Environmental Impact: A review. Sustainability, 15(13), 10482. https://doi.org/10.3390/su151310482

  • The role of AI in preventing food waste, more specifically in smart monitoring, predictive analytics, smart inventory management, consumer awareness and education, donation and redistribution.


https://www.analyticsvidhya.com/blog/2023/01/food-waste-management-ai-driven-food-waste-technologies/


Cappelletti, F., Papetti, A., Rossi, M., & Germani, M. (2022). Smart strategies for household food waste management. Procedia Computer Science, 200, 887–895. https://doi.org/10.1016/j.procs.2022.01.286