This project leverages clothing recognition to help users digitize their wardrobe and develop sustainable consumer habits.
Switch to Python environment run: source reflect/bin/activate
Start Backend by running: uvicorn main:app --reload
Localtunnel is used to expose the server port (8000).
Follow these instructions to quickstart localtunnel.
To start the server https://reflect.loca.lt run the command: lt -p 8000 -s reflect
Browse API docs at: https://reflect.loca.lt/docs
Ensure that backend is running, and the port is exposed in the above steps.
Run npm start to start a local development server.
Expo Go can be downloaded to emulate the application on your phone.
Request the latest service.json and place in ./recognition to enable Google Cloud APIs
{
"type": "service_account",
"project_id": "reflect-415121",
...
}```