Initial project scaffolding for health tracker app

Set up backend and frontend structure for a health and fitness tracker using Python (FastAPI, SQLModel, DSPy) and React. Includes Docker and Compose configs, authentication, nutrition AI module, health/nutrition/user endpoints, database models, and basic frontend with routing and context. Enables tracking nutrition, health metrics, and user management, with architecture ready for future mobile and cloud deployment.

docker-compose.yml

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+services:
+  db:
+    image: pgvector/pgvector:pg16
+    environment:
+      POSTGRES_USER: ${POSTGRES_USER}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
+      POSTGRES_DB: ${POSTGRES_DB}
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    ports:
+      - "5435:5432"
+    healthcheck:
+      test: [ "CMD-SHELL", "pg_isready -U user -d healthyfit" ]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+
+  backend:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    volumes:
+      - ./backend:/app
+    ports:
+      - "8000:8000"
+    environment:
+      - DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}
+      # - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+    depends_on:
+      db:
+        condition: service_healthy
+    command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
+
+  frontend:
+    build:
+      context: ./frontend
+      dockerfile: Dockerfile
+    volumes:
+      - ./frontend:/app
+      - /app/node_modules
+    ports:
+      - "5173:5173"
+    environment:
+      - VITE_API_URL=${VITE_API_URL}
+    depends_on:
+      - backend
+
+volumes:
+  postgres_data: