This is a smarthome school project. It has some iot and ai inference.

1. node (Can use nvm to version management, I'm using nvm --lts so it's node v20.12.1 (npm v10.5.0))
2. python
3. docker compose

1. docker compose up or docker-compose up (whatever works for you)
2. cd app
3. Create a virtual environment if needed, then pip install -r requirements.txt
4. Create the .env file from .env.example. And fill in the fields.
5. Run backend: fastapi dev app.py --host 0.0.0.0 --port 8000
6. Initialize the rooms in the database: python database/scripts/init_light.py
7. Modify database/scripts/init_camera_links.py for the camera links you want for your app. Then run python database/scripts/init_camera_links.py

1. cd smarthome
2. Install dependencies, use: yarn or npm install.
3. Create the .env file from .env.example. And fill in the fields.
4. Run the frontend: yarn dev (add --host to expose ip).