1.5 KiB
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/root/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