HSL Bike Helper

HSL Bike Helper is an app that predicts the number of bikes at stations in Helsinki and Espoo at any hour using the SARIMA model.

Repository

https://gitea.elliot-at-zuri.ch/admin/DATA11001-Introduction-to-Data-Science

Installation

The application can be directly accessed via a web browser at the following addresses, without requiring any installation:
- Frontend: https://hsl-frontend.elliot-at-zuri.ch
- Backend: https://hsl-backend.elliot-at-zuri.ch/app/predict

Optionally, however, the application can be installed as a mobile or desktop app, since it is a PWA.

Development

To run the Django backend locally, navigate to the backend folder and:
- Source the env: source env/bin/activate
- Create an empty .env file: touch .env
- Install the dependencies: pip install -r requirements.txt
- Run the first two code blocks of the main.ipynb file
- Start the server: python manage.py runserver

To run the Next.js frontend locally, navigate to the frontend folder and:
- Install the dependencies: npm install
- Start the application: npm run dev