Team Members: Jason Li, Celine Chen, Andrew Sasasmori, Jake Lee, Naomi Gonzalez
Team Emails:
Jason Li: [email protected]
Celine Chen: [email protected]
Andrew Sasasmori: [email protected]
Jake Lee: [email protected]
Naomi Gonzalez: [email protected]
Project Youtube Link: https://www.youtube.com/watch?v=PB7FkXCeDDc
How to build the project:
- IMPORTANT! In order to run the code, input the following command in the User Terminal
open -na Google\ Chrome --args --user-data-dir=/tmp/temporary-chrome-profile-dir --disable-web-security
- Make sure have Node.js installed
Have access to npm commands
-
Download all files, dependencies, and libraries
-
Run the following command in the ..meal_mates/ directory:
npm start
Make sure that the local host is ran in the open-access Chrome browser
- Have fun dating those restaurants!
Project Description:
The MEALME website curates a matched restaurant based on the user's location, preference price range, and their choices when swiping through the different restaurant profiles. This website is intended to help an indecisive user to choose a restaurant that they should eat and save time on their end. After the user inputs their location and price range choice, they go through a series of profiles and select the four different icons that resembles dislike, like, super-like, and whether they are ready to be matched, and if they are they click the watermelon icon. After going through all the profiles, the algorithm calculates and outputs their matched dining location based on their previous inputs.
Example Test Cases:
610 beacon street
Manhattan, NY 10036
tokyo
Chicago
Paris, France