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Web application that determines the best student housing option for University of Waterloo students based on a person's preferences :house::star2:

Home Page: https://wathaus-web.herokuapp.com

License: Apache License 2.0

Ruby 55.71% HTML 2.68% CSS 1.85% JavaScript 39.75%
reactjs ruby ruby-on-rails material-ui sentiment-analysis google-maps-api docker postgresql

wathaus.ai's Introduction

Web application that determines the best student housing option for University of Waterloo students based on a person's preferences

Data was collected via Google Forms from over 300 students

Satisfaction by Region

satisfaction

Price by Region

price

Prerequisites

  • Ruby on Rails v 5.x
  • Node.js v8.x

Instructions for future developers

  1. Clone the repo git clone https://github.com/djoksimo/WatHaus.AI.git
  2. Run bundle install in api directory to install the Ruby gems
  3. Run npm install in web directory to install the React app dependencies
  4. Run npm start in web dircectory to locally run React app on port 3006
  5. Create database by running rails db:create or send us a note for database migration
  6. Migrate database models by running rails db:migrate
  7. Run rails server in api directory to locally launch web server
  8. Get REST api routes by running rails routes in api directory

TODOs:

  • Deployment on Google Kubernetes Engine
  • Web scrapers to collect student housing satisfaction data
  • Scale to include other Canadian universities and colleges
  • Improve UI/UX
  • Account for proximity bias (more students live closer to campus)
  • Dockerize code
  • Sentiment analysis in Ruby to judge bad experiences reported by students
  • Get images based on apartment addresses using Google APIs
  • Add form for collecting apartment satisfaction data to improve model accuracy
  • Automate malarkey removal from Google Form data

Contact me for Heroku, CI/CD, and Security information

wathaus.ai's People

Contributors

dependabot[bot] avatar djoksimo avatar

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