Meal Prep App

Code is split up into three services:

• Frontend
• Server
• NLP Ingredient Parser

Build Project and Deploy to Minikube

./scripts/buildAll.sh

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Architecture: Save WebScraped Recipes to Database

Webscrape common recipes and put in database. Anytime someone asks for an ingredient combo with less than N results, we can add that search query to a queue. Finally, we can have a chron job that goes through the query and adds recipes.

1. Pros

• Scalable; since we have the data, the solution can be made scalable
• AWS Hosting is very cheap
  • ~$0.115 per GB-month

2. Cons

• Cannot download the code and work from any machine
  • Solution: Setup persistent database via droplet / heroku / etc.

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Designs:

• https://dribbble.com/tags/cooking_app
• https://www.awwwards.com/inspiration/search?text=cooking