The app communicates with a central server to generate meal recommendations based on information gathered by the server. The server could be constantly updated with new information from data collected from websites of local grocery stores, including nutritional and pricing information. The server also would have a second database containing recipes of meals.

The server would then use an AI model trained on common user preferences and recommended nutritional data to determine what recipes are most applicable for each user based on location, available products and their costs and what they have eaten recently to support a balanced diet. Using the vast amount of data collected the website could also be used to find pricing and availability for individual products between stores.

The app would also have an element of crowdsourcing for grocery stores where pricing and stock information is not readily available online or inaccurate, where users can submit new information about available produce or flag inaccurate information. Stores that have a track record of inaccurate information would be flagged so users know not to completely trust the data presented for those stores. Users will also be able to add locations with no web presence such as farmers markets. New recipes can also be suggested by users and voted on by other users.

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6 thoughts on “Healthy Meals app- How it works

  1. How will you address privacy concerns related to the data you are collecting? As a costumer, I would feel uncomfortable with a company knowing both my location and all of my dietary habits.

    Reply
    • I remember in the presentation that you mentioned users could use GPS, or avoid that and just provide a zip code. Would you track a user’s preferences via cookies or other method?

      Reply
  2. I liked your idea of kiosks provided in key areas of the city for those without smartphones. Might also be fun to just provide actual food in those areas as well (see the food pantry at the Vina Moses Center in Corvallis).

    Reply
  3. Are there any examples of some of these AI features being implemented before in other apps? There are tons of diet apps out there, but what is unique about this idea as far as I know is that it offers meal ideas based on geographical availability, cost, and nutritional balance of the user.

    Reply

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