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Piotr Oleszczyk 66ee473deb feat: AI photo analysis for skin snapshots 
Add POST /skincare/analyze-photos endpoint that accepts 1–3 skin
photos, sends them to Gemini vision, and returns a structured
SkinPhotoAnalysisResponse for pre-filling the snapshot form.

Extract shared Gemini client setup into innercontext/llm.py
(get_gemini_client) so both products and skincare use a single
default model (gemini-flash-latest) and API key check.

Frontend: AI photo card on /skin page with file picker, previews,
and auto-fill of all form fields from the analysis result.
New fields (skin_type, sebum_tzone, sebum_cheeks) added to form
and server action.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-28 12:47:51 +01:00
..
innercontext feat: AI photo analysis for skin snapshots 2026-02-28 12:47:51 +01:00
tests refactor: split table models into Base/Table/Public for proper FastAPI serialization 2026-02-27 15:37:46 +01:00
.env.example fix: load .env via python-dotenv; SQLite default for local dev 2026-02-26 20:51:13 +01:00
.python-version Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
db.py Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
main.py style: reformat import block in main.py 2026-02-27 23:05:14 +01:00
pyproject.toml feat: AI photo analysis for skin snapshots 2026-02-28 12:47:51 +01:00
README.md Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
skincare.yaml Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
uv.lock feat: AI photo analysis for skin snapshots 2026-02-28 12:47:51 +01:00

README.md

See the root README for setup and usage instructions.