PRE2023 3 Group6: Difference between revisions
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=== Problem Statement === | === Problem Statement === | ||
<s>37% percent of food is wasted in households in the US</s><ref>https://ballardbrief.byu.edu/issue-briefs/food-waste-in-the-united-states</ref>. In the EU, households generate more than half of the total food waste (54%)<ref>https://food.ec.europa.eu/safety/food-waste_en</ref>. The causes of food waste could be food expiration, overshopping, and | <s>37% percent of food is wasted in households in the US</s><ref>https://ballardbrief.byu.edu/issue-briefs/food-waste-in-the-united-states</ref>. In the EU, households generate more than half of the total food waste (54%)<ref>https://food.ec.europa.eu/safety/food-waste_en</ref>. The causes of food waste could be food expiration, overshopping, and often these relate to poor meal planning and insufficient food management skills. | ||
=== Objectives === | === Objectives === | ||
Revision as of 10:52, 17 February 2024
Virtual Fridge
Group members
| Name | Student number | Study | |
| Sem van Birgelen | 1813862 | Industrial Design | s.v.birgelen@student.tue.nl |
| Manka Huszár | 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]. 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
Regular people 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., Cuéllar, 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.
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