- Develop an APIs to retrieve metadata and images which were normalized in Data Lake for automated incremental learning process.
- Develop an APIs to upload captured image and metadata of user to storage system for later usages and then activate model.
- Utilize Nginx to route and load balance among API service containers for reducing the latency and avoiding overload on each service.
For containerizing the backend, I configured these containers. Furthermore, Our backend is erect on FastAPI which is one of Python's frameworks
- Metadata Service
- Model Service
- Build all up
docker-compose up --build