an-nguyen6 / recipe-grocery-cart-builder Goto Github PK

A wep app to help users plan meals around macros and foods of their liking. Users can also log in to their Kroger account and look up product availability at a local Kroger chain (e.g. Mariano's if you're in the Chicagoland area) and add products to their cart.

• To fully use this app, register for a Kroger account
• Ensure you have pipenv installed pip install pipenv
• Create pipenv environment pipenv install
• Install hypercorn within your pipenv environment pipenv install hypercorn
• Initiate the pipenv environment and run using hypercorn pipenv shell then hypercorn main:app --reload

• Register for the FoodData API and get your API key
• Register for the Spoonacular API and get your API key and host
• Register for the Kroger API and get your client ID and secret
• Add these to APIs/config.py

Project idea #1: Create an API to help people plan meals and buy groceries to meet their nutrition goals. Things to implement:

1. Take someone’s macronutrient preferences and using a nutrition facts API (FoodData Central) suggest some foods to start
2. Based on someone’s inputs on basic food/ingredients they’d like to eat, it’ll return recipe suggestions (Spoonacular API)
3. Based off recipes or food selections, it will call a grocery API (e.g. Kroger, Instacart) to check for food item availability
4. It may also add items to cart in Instacart using their API
5. Wrap all this up in a web app for users to access

Implementation Timeline

1. Week 5: Confirm access to necessary API's and datasets, one of the following or something similar (FoodData Central, Spoonacular, Kroger or Instacart)
2. Week 6: Have a basic data model to represent food suggestions and recipes. Begin building recommendation algorithm for food and recipes.
3. Week 7: Wrap up recommendation algorithm. Implement grocery availability and ordering calls. Explore web app frameworks.
4. Week 8: Implement and finalize web app for end user.
5. Week 9: Final touches and submit project