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Restroom Reports 💩

Usage

To run Restroom Reports on your local machine, first download and cd into the repository, then open a terminal and run the following command:

npm run start-server

Then open another terminal and run this command:

npm start

Project Contributors:

  • Ivan Cao
  • Ethan Schrack
  • Whitman Stewart
  • Aristotelis Tzetzis

Purpose:

What is one thing everyone does every day? That's right, use the bathroom! So would it be too much to ask for our community to have a general idea of what a bathroom is like before walking in? Our group doesn’t think so, so we came up with the “Restroom Reports” project. Our project provides an interactive environment for users to read and share reviews of the various bathrooms at UGA. Users are able to use the interactive map to locate bathrooms near them, and post a review and description for future bathroom-goers to use as reference. We believe this will help our community by providing a more comfortable and personalized bathroom experience and help eliminate the dreadful hunt for the best “spot”. Say goodbye to blind dates with bathrooms, and hello to “Restroom Reports”.

Tools Utilized:

  • MongoDB Atlas
  • Express.js
  • React
  • Node.js
  • Google Maps JavaScript API
  • Npm docs
  • VSCode
  • GitHub/Git

Problems that we ran into and overcame:

  • Linking the front end and the back end of the project together caused some confusing errors. We were able to overcome this by taking it slowly one error at a time and thinking through solutions.
  • Linking the HTML files to java script functions in order to run them when needed. This was overcome by critical thinking and trial and error.
  • Creating an interactive map with specific bathroom points was challenging when trying to integrate the google maps API and getting the points to hold their position on the map. We were able to overcome this with research on the topic and trial and error while working together.

Frameworks:

  • Google Maps JavaScript API
  • MongoDB
  • React.js
  • Express.js
  • Node.js

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  • JavaScript 76.0%
  • CSS 17.8%
  • HTML 6.2%