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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
backend feat: AI photo analysis for skin snapshots 2026-02-28 12:47:51 +01:00
frontend feat: AI photo analysis for skin snapshots 2026-02-28 12:47:51 +01:00
.gitignore fix: load .env via python-dotenv; SQLite default for local dev 2026-02-26 20:51:13 +01:00
CLAUDE.md Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
README.md Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00

README.md

innercontext

Personal health and skincare data hub. Collects structured data (products, routines, lab results, medications, skin snapshots) and exposes it via a REST API and MCP to an LLM agent.

Repository layout

backend/   Python backend — FastAPI REST API + SQLModel models

A frontend will be added in the future.

Backend quick start

Requirements: Python 3.12+, PostgreSQL, uv

cd backend

# Install dependencies
uv sync

# Set database URL (defaults to postgresql+psycopg://localhost/innercontext)
export DATABASE_URL=postgresql+psycopg://user:password@localhost/innercontext

# Start the API server (creates tables on first run)
uv run uvicorn main:app --reload

API docs available at http://localhost:8000/docs.

API overview

Prefix Resource
/products Skincare / medication products + inventory
/inventory Individual inventory entries
/health/medications Medication entries and usage history
/health/lab-results Lab test results
/routines AM/PM skincare routines and steps
/routines/grooming-schedule Weekly grooming schedule
/skin-snapshots Weekly skin condition snapshots
/health-check Liveness probe

Development

cd backend

# Lint
uv run ruff check .

# Format
uv run black .
uv run isort .

Stack

  • Runtime: Python 3.12, FastAPI, Uvicorn
  • ORM: SQLModel 0.0.37 + SQLAlchemy, Pydantic v2
  • Database: PostgreSQL (psycopg3)