CS370 Intro to AI Final Project - A smart system that allows students to get advised based off course history.

• Google App Engine:

  • The website is hosted on google infrastructure, and the system uses Google App Engine from the Google Cloud Platform Suite. It uses the GAE Standard Environment for Python.
  • More info on GAE: https://cloud.google.com/appengine/

• Ferris Framework:

  • Ferris is web dev framework tailored specifically to GAE. More info: http://ferris-framework.appspot.com/docs/index.html

• Python Libraries:

  • BeautifulSoup, used to scrape and parse some of NJIT websites to build up the database of majors and to perform the "Smart" advising.

The system is basically a database of all the courses of each major at NJIT, that acts as an expert system using historical data of the student (course & semester-wise), to provide a best estitame of the courses that needs to be taken next. The core of the system, is using the scraped data from NJIT's website and building a interal map(tree) of majors, semesters and courses.

http://njit-advising.appspot.com/home

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