MBTI-predictor

A webapp using a linear SVM model to predict mbti personality types given a paragraph. The model was trained using MBTI-500 dataset. The model was 84% accurate on the test set.

Demo

This is how the main page looks like:

This is how the prediction page looks like:

Responsive design made to work on mobile as well

Running Locally

1. Clone the repository: git clone https://github.com/Proto007/MBTI-predictor/
2. Create and activate a virtualenvironment: https://docs.python.org/3/library/venv.html#creating-virtual-environments
3. Go to the directory of the project and install necessary dependencies:

cd MBTI-predictor
pip install -r requirements.txt

4. Go to the django project directory and make database migrations:

cd mbti_predictor
python manage.py makemigrations
python manage.py migrate

5. Run webapp in localhost: python manage.py runserver

Tools used

Frontend: Django-template, Bootstrap CSS

Backend: Django-Rest-Framework

ML framework: scikit-learn