PRE2023 3 Group6
Foodini
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], 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.
User requirements
- Easy to use platform to save food
- Recipe suggestions
- Reminders about expiry dates
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.
Planning
Research team
- Sem
- Aydan
- Vlad
Development team
- Manka
- Yi Hang
- Bohao Ye
Underlined = deliverables
Week 1
Research
- Choose a subject - Everyone
- Research the problem - Everyone
- Find 25 articles and summarize (partly for now) – Sem, Aydan, Bohao
Development
- Implement sign up and sign in – Yi Hang
Week 2
Development
- Complete mock-up user interface designs ½ - Manka, Sem
- Start Page
- Login
- Sign up
Research
- Investigate state-of-the-art apps, add to wiki ½ – Aydan, Vlad
- Survey questions - Aydan
- App requirements (MoSCoW) - Bohao
Week 3 – Complete the survey
Development
- Complete mock-up user interface designs 2/2 - by Wednesday – Manka, Sem
- Inventory page
- Recipe page
- XML for login, sign up and inventory – Manka
- App Logo - Manka
- Implement Inventory – Yi Hang
- Page for item entry
- Enter expiration date
Research
- Investigate state-of-the-art apps, add to wiki 2/2 - Aydan, Vlad
- Summary of survey, add to wiki - Aydan
Week 4
Development
- XML for recipe page – Manka
- Implement Recipe page – Bohao, Yi Hang
- Notifications – Bohao
Research
- Put together contents for info page – Aydan, Vlad
Week 5 – First working version
Development
- Notifications – Bohao
- Information page – Manka
Week 6
Research
- Conduct user test – Everyone + 3rd party
- Collect and analyze user test results - Everyone
Week 7 – Final version
Development
- Add fixes to app according to user feedback – Development team
Week 8
- Create final presentation - Everyone
- Peer review - Everyone
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