Group 5: The -5ivers

Food Waste Management

Project Description

According to the Environmental Protection Agency (EPA), over 103 million tons (206 billion pounds) of food was wasted in the United States in 2018. Globally, we waste a third of all food produced for human consumption, according to the Food and Agriculture Organization (FAO) of the United Nations. Food waste is the #1 source of garbage in landfills and it is responsible for 17% of U.S. methane emissions. Some of the current solutions to this problem simply include educating people on how to prevent food waste via lifestyle changes and only buying what you need, while also paying attention to expiration dates before throwing food out. However, this seems to be an overly idealistic solution which brings us to the idea of our platform.

Food waste management is a web application that allows groceries/small food businesses in Hoboken to sell food that is close to its expiration date for a discounted (or free) rate in order to avoid food waste. Features for the customers include finding nearby stores to their location/proximity while also being able to check out these food items for purchase. On the other hand, store owners would be able to list their items on our application for purchase by others. Both parties would benefit from this in order to avoid food waste on the business side, while also providing affordable rates for the customers (E.g. for students who are on a budget, or perhaps charities looking to provide food for the homeless).

Technologies used

Node.js, React, MongoDB Atlas, Express, Firebase Authentication, Redux, ImageMagick, AWS S3

How to Setup

The environment files are already included in our project submission (There's one for both the client side and server side).

But for good measure and completion, you would need to create a file called .env in the root directory of both /client and /server and paste in the corresponding secret keys, which are included in a Canvas Submission comment.

Package and data setup

Navigate to /client and /server and run npm install or npm install --force to install the required dependencies on both the client and server-side of our project.

Since we are using MongoDB Atlas, we have seeded our database with the data there is no need to run the seed files in your setup. We are just providing this commands if you want to add your own data into seed file, run npm run seed, node task/item_seed to run the various seed files for our database.

Note: If you run the seed file, data will be duplicated in MongoDB Atlas

ImageMagick Setup

The next step is to install ImageMagick on your machine since it will be needed locally for one of our image upload features to work. Download ImageMagick for your specific operating system at this link: https://imagemagick.org/script/download.php

Windows

• You can download an executable directly at this link: https://download.imagemagick.org/ImageMagick/download/binaries/ImageMagick-7.1.0-33-Q16-HDRI-x64-dll.exe. For windows you must specifically install ImageMagick-7.1.0-34-Q16-HDRI-x64-dll.exe version.
• Choose all default options, however, when on the "Select Additional Tasks" page, be sure to check off Install legacy utilities (e.g. convert).
• 
• Make sure that ImageMagick is installed at proper path. Your ImageMagick folder path should look like this C:\Program Files\ImageMagick-7.1.0-Q16-HDRI

MacOS

• Assuming you have homebrew installed, you can install ImageMagick with brew install imagemagick and brew install ghostscript (A dependency).

Run the application

From here, you can run 'npm start' in the /client folder to start the react app (http://localhost:3000/) and npm start in the /server folder to begin the server (http://localhost:3001/)

We also have seeded both user accounts and restaurant admin accounts (so you can update the food items offered for a particular restaurant).

Restaurant Admin Accounts

Access the Admin login page using http://localhost:3000/admin/signin (Note: There is no button to go to admin page. You need to manually type the url)

The username and password follow the same format for each restaurant.

Username: restaurant{number}

Password: restaurant{number}.123

Restaurant	Username	Password
La Casa	restaurant1	restaurant1.123
Mexiterraneo Grill	restaurant2	restaurant2.123
The Franklin	restaurant3	restaurant3.123
Mike's	restaurant4	restaurant4.123
Chango Kitchen	restaurant5	restaurant5.123
Ricky's	restaurant6	restaurant6.123
Ali Baba	restaurant7	restaurant7.123
Mision Burrito	restaurant8	restaurant8.123
El Sabroso	restaurant9	restaurant9.123
Elysian Cafe	restaurant10	restaurant10.123
Dark Side Of The Moo	restaurant11	restaurant11.123
Corto	restaurant12	restaurant12.123
Amanda's	restaurant13	restaurant13.123
La Boheme Restaurant	restaurant14	restaurant14.123
Margherita's	restaurant15	restaurant15.123
Zack's	restaurant16	restaurant16.123
Empanadas Cafe	restaurant17	restaurant17.123
Mamoun's Falafel	restaurant18	restaurant18.123
Los Tres Chilitos	restaurant19	restaurant19.123
Shaka Kitchen	restaurant20	restaurant20.123
The Hutton	restaurant21	restaurant21.123
Heavenly Chicken and Ribs	restaurant22	restaurant22.123
Ujala	restaurant23	restaurant23.123
Northern Soul	restaurant24	restaurant24.123
Anna Maria Pizzeria & Restaurant	restaurant25	restaurant25.123
Corkscrew Bar	restaurant26	restaurant26.123
Garden State	restaurant27	restaurant7.123
Hollywood Fried Chicken	restaurant28	restaurant28.123
NYC GYROS	restaurant29	restaurant29.123
Good Year	restaurant30	restaurant30.123
Tommy's Family Restaurant	restaurant31	restaurant31.123
Sophia’s Kitchen	restaurant32	restaurant32.123
Los Amigos Restaurant, LLC	restaurant33	restaurant33.123
Rumba's Cafe	restaurant34	restaurant34.123
La Concha	restaurant35	restaurant35.123