docs(readme): remove HF frontmatter rendered as table on GitHub

docs(readme): mark Phase 1b-I and 1b-J complete

docs(readme): replace dev-scaffold disclaimer with trained model metrics

feat(evaluation): add stabilized training results (greedy + beam)

fix(ci): drop py3.12 matrix entry and stop tracking pycache under src/captioning/data

fix(ci): un-ignore src/captioning/data/ source package

fix(ci): set MYPYPATH env and explicit-package-bases for mypy step

fix(ci): use list-form mypy_path and switch frontend job to npm install

docs(readme): update status block — Phase 2C deployed end-to-end

fix(ci): set mypy_path for src + backend layout and sync frontend lockfile

feat(ci): add deploy-backend workflow + Phase 2C runbook + Live Demo README section

docs(readme): mark WS-C complete (HF Space live with /healthz + /v1/captions verified)

docs: add HuggingFace Space frontmatter to README

Merge branch 'main' of https://huggingface.co/spaces/apoorvrajdev/image-captioning-api

initial commit

docs(readme): mark WS-B complete (weights published to HF Hub @ v1.0.0)

feat(backend): pull weights from HuggingFace Hub at startup when BACKEND_WEIGHTS_HUB_REPO is set

feat(backend): add Dockerfile, .dockerignore, and corrected .env schema for HF Spaces deploy

ci: add GitHub Actions workflow for python quality, tests, notebook freeze, and frontend build

docs: restructure README with recruiter-focused layout and detailed phased roadmap

test(backend): add FastAPI route tests with fake predictor service

ci: add workflow blocking AI attribution in commit messages

docs(readme): document stabilization phase and evaluation pipeline

feat(evaluation): add beam search, metrics pipeline, and stabilized training workflow

docs(readme): finalize Phase 2B frontend documentation

chore: refresh contributor graph

feat(frontend): complete Phase 2B frontend-backend integration

docs(readme): update README for completed Phase 2A backend infrastructure

feat(api): build production-grade FastAPI inference backend

docs: professionalize repository presentation and architecture documentation

feat: finalize Phase 1 modular ML architecture

feat: bootstrap production-grade ML repository tooling

refactor: create production-ready project structure

initial commit: add image captioning research project