Meat Cheese Bread is a React/Firestore web application that tcl-16 collaborated on as part of The Collab Lab's Winter 2021 cohort. Over an 8-week period we created a “smart” shopping list app that learns your buying habits and helps you remember what you will likely to need to buy on your next trip to the store.
As a user, you will enter items (e.g., “Greek yogurt” or “Paper towels”) into your list. Each time you buy the item, you mark it as purchased in the list. Over time, the app comes to understand the intervals at which you buy different items. If an item is likely to be due to be bought soon, it rises to the top of the shopping list.
Interact with the live site and/or watch the video demo! You can join an existing list with: actor racy artie
npmis distributed with Node.js which means that when you download Node.js, you automatically getnpminstalled on your computer.- Follow the instructions here to install Node.js and
npm.
- On GitHub, click the green "Clone or download" button and copy the web URL.
- From your terminal,
cdinto the directory where you want this project to live. - Once you’re in the directory, type
git clonefollowed by the web URL you just copied to your clipboard from GitHub. - Then navigate into the project by typing
cdfollowed by the project directory’s name.
- Once you have the project locally and you are in the project directory, you’ll want to update all the project’s dependencies. To do so, type the following into your terminal:
npm update - Maybe take a sip of coffee or check in on Twitter, this could take a minute -- don’t worry.
- After you’ve cloned the project locally and updated the dependencies, run the project by typing the following into your terminal:
npm start. You should be able to see the project atlocalhost:3000
- Join an existing list (log in)
- Create a new list (sign up)
- Switch lists (sign out)
- See their token to share and re-access their list
- Remain logged in if they never logged out
- If there are no items on the list, prompts the user to add an item
- Add items with the name and how soon they plan on buying them
- Add items only if they are not present on the list (including different punctuation)
- See all of the items on their list
- Items are color-coded and sorted by the estimated number of days until next purchase, with the soonest at top and latest at the bottom except for if its “inactive”. Items with the same number of estimated days until next purchase are sorted alphabetically.
- When updating the item as "purchased", updates last purchase date and marks as "purchased" for 24 hours
- Learns overtime when the user should anticipate when to buy items on their list based on how many times the user bought it and the intervals between purchase dates
- Delete items from the list
 Kevin Davis |
 Waverley Leung |
 Jessica Salbert |
 Maeesha Rahman |
We would like to thank:
- Eddie Solar
- Melina Mejía Bedoya
- Skyler Shaw
- Andrew Hedges
- Stacie Taylor
- TCL Winter 2021 Cohort
- everyone at The Collab Lab