On-prem, self-hostable AI scribe: record a consultation → transcribe → structured clinical note → edit → print/copy.
make startBuilds everything, initializes the DB, and starts the stack in Docker.
App + API at http://localhost:8000. First run creates .env from
.env.example — add SARVAM_API_KEY and your LLM key. Stop with make down.
On the VM, set keys, ENV=prod, and SELF_URL=https://<your-domain> in .env, then:
make start-prodServes on container port 8000 — front it with your HTTPS proxy (mic needs a secure context).
./deploy/push.sh <tag> # build + push images
kubectl apply -f deploy/k8s/ # deploy to namespace eka-care
kubectl -n eka-care port-forward svc/ekascribe-api 8000:8000Secrets and details: deploy/k8s/README.md.
docs/architecture.md— how the pieces fitCONTRIBUTING.md— dev workflow