Suggestr is a convenient, web-based course suggester centered around feature richness and usability.
![](https://img.shields.io/badge/license-Apache 2.0-green.svg)
Contributors: Lucien Christie-Dervaux, Ben Espey, Leopold Joy, && Shantanu Patil.
We welcome any contributions. Feel free to open new issues for any concerns or pull requests for any added features.
Our development team currently uses MAMP to host the local server and SQL database it relies on. Download and install MAMP and set your web server document root to point at the suggestr root folder.
Use the mlbackup.sql file to create all the database records
Then run the MAMP server and open http://localhost:8888/ in your web browser.
PHP: 7.1.33 MYSQL: 5.7.34
Rensselaer Center for Open Source for motivation and support.
Lou Yufan & Jeff Hui for help and advice. YACS for the course data.
More details about the machine learning algorithms can be found [here](MACHINE LEARNING.md)
PHP, SQL, Bootstrap, HTML, css, Sass, Javascript+jQuery, Mustache.
Glench/fuzzyset.js Copyright (c) 2016, Glench
Copyright (c) 2016, Lucien Christie-Dervaux All rights reserved.