Brewscovery Machine Learning

Machine Learning recommendation system model in Brewscovery.

How to start

1. Install Python 3.9 or more recent. We need Python with Pip installed.
2. Open your working directory and git clone https://github.com/C23-PS051/ml.git
3. cd ml
4. Create virtual environment for this service python -m venv venv
5. Activate virtual environment source venv/bin/activate (or venv\Scripts\activate for Windows)
6. Create .env file. Use .env.example as example
7. Create Firebase account and store the Firebase Admin SDK credentials. See .env.example
8. python manage.py makemigrations
9. python manage.py migrate
10. python manage.py runserver. Voila!

Dev

1. Yendis
2. Nito
3. Dixon
4. Sadhvi
5. Pingka
6. Yosafat