Team Members: Mymy Tran, Grace Jiang, Yixin Tian.
This repo is a clone of https://github.com/nelaturuk/education_pathways.
Screenshot's Lab 5:
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As a user, I want to see course information in a more organized way so that I can prioritize the information needed.
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As a user, I want to browse courses given key terms and different restrictions so that I can have more control to the searching.
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As a user, I want an option to learn more about the website easily seen so that I can onboard myself easily when I first land on the homepage.
Welcome to CARTE's in-development tool for course selection at UofT. Education Pathways allows for more intelligent course searching, by matching not just the terms you search, but ones relevant to them. The more terms you search for, the more relevant your results will be! Even try searching across disciplines for the courses that best cover each.
Whatever year you are looking for, Education Pathways will also suggest courses in earlier years that will best help you to prepare. To get the most out of this, try searching for courses in a later year and see what is suggested for your current one.
We are looking for feedback to improve Education Pathways and make it more useful for students. If you have ideas or suggestions, please email us!
Screenshot's Lab 5:
./Procfile ./wsgi.py tells gunicorn how to run the program
./environment.yml ./requirements.txt specifies python requirements for anaconda and pip respectively
./__init__.py main flask code
./readme.md this file
./resources: contains datasets used in the program
course_vectorizer.pickle df_processed.pickle
course_vectors.npz graph.pickle
./static: contains any static elements of the webpage, in this case just the CARTE logo
CARTE_logo.jpg
./templates: contains flask templates for rendering HTML
_formhelpers.html course.html index.html results.html