This is the main repository of Tiny Machine Learning as a Service project for Software Engineering Project course at University of Helsinki, summer 2023.

The GitHub pages describe the overview of the project and the functionality of the machine learning modules: training, compiling, installing and observing.

• Backend
• Frontend
• CLI
• MCU components

• Way of Working
• Product backlog
• Working hours
• Database schema

Use Docker to build and run the whole project.

1. Clone this repository
2. Run

docker compose up -d

This will set up both the backend and frontend, and a network between the two

If the bridge is also needed on the same machine, use the docker-compose-with-bridge.yml file. This will build and run the frontend, backend and bridge and create a network between all three components.

1. Clone this repository
2. Run

docker compose -f docker-compose-with-bridge.yml up -d

Note that requires the Sysbox runtime to be installed and running, as the bridge uses this module.

See instructions in respective repositories for frontend, backend and the birdge / relay service for MCUs.

• Backend
• Frontend
• MCUs
• CLI