Hackathon project done by friends at the 2019 UOttawa Hackathon.
Utilized an open source dataset regarding student's drinking habits to create multiple models that predict how at risk a student is to alcoholism.
Models created using Support Vector Machine (SVM), Random Forest Classifier (RF) and k-nearest neighbors (KNN) and used whichever gave a higher accuracy.
Django utlized to give a simple web-based form submission.
Example used in the blog post How to Render Django Form Manually
Created By: Aman Riat Tony Guan Harjap Gill Athavan Jeevakumar
git clone https://github.com/sibtc/form-rendering-examples.git
pip install -r requirements.txt
python manage.py migrate
python manage.py runserver