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CourseTracker

made-with-python

Since mid-2020, owing to the pandemic, in-person classes have been done away with, and e-learning has been at the forefront. Hence, professors and educators now share study resources and assignments with their students using various e-learning platforms, the top 3 being Google classroom, LMS, and MS Teams. Since there isn't a single common platform for a particular college, students have to keep track of all three platforms to see their assignments, deadlines, and study resources. Naturally, they are bound to miss a thing or two. Hence, we have developed a centralized platform that will scrape and display all the resources and assignments posted on LMS and Google classroom. Therefore, students don't need to browse through various e-learning platforms to keep track of their courses.


The project uses Selenium and BeautifulSoup for web automation and scraping. The scraped data is served to the user over a webapage using Flask.

Tech stack

  • Frontend - HTML, CSS, JavaScript, Bootstrap
  • Backend - Flask, Selenium, Beautifulsoup

Client

Home

The Home page displays all the subjects along with the 2 latest resources and assignments (if not submitted)

Home

Subject View

The Subject page displays resources and assignments of the selected subject

Subject

Assignment View

The Assignment page displays all the assignments (pending + turned in) across all subjects

Assignment

Endpoints

GET /home: Get details for all subjects 

GET /subject/<string:id>: Get info about the specific subject

GET /assignments: Get info about all submissions (pending + turned in)

POST /assignments/<assignment:id>: Submit a file for the specific assginment (works only for LMS for now)

Future work

  • Integrating MS Teams
  • Add pagination in frontend
  • Allow users to submit assignments for google classroom
  • Scrape tesxt based announcements on Google classroom
  • Building a 3 layer architecture
  • Notify users when assignment is submitted
  • Add logging

Requirements

All the requirements of the project are available in requirements.txt file

Running the project locally

Install the required packages:

pip install -r requirements.txt

Running the flask server (debug mode disabled):

$ python3 app.py

To use debug mode we need to deactivate the reloader for the application to work smoothly
Linux:

$ export FLASK_APP="app:app"
$ export FLASK_ENV="development"

On Windows:

$ set FLASK_APP="app:app"
$ set FLASK_ENV="development"

Running the flask server (in no reload mode - in normal mode the server is buggy):

$ flask run --no-reload

Subsequently, you will be asked to provide your login credentials (for LMS and Google classroom) and select the subjects you have enrolled in.

Then go check out 127.0.0.1:5000