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.

backend/app/main.py

@@ -0,0 +1,33 @@
+from contextlib import asynccontextmanager
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from fastapi import FastAPI
+from app.api.v1.api import api_router
+from app.db import init_db
+from app.core.ai_config import configure_dspy
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    init_db()
+    configure_dspy()
+    yield
+
+from fastapi.middleware.cors import CORSMiddleware
+
+app = FastAPI(title="Healthy Fit API", lifespan=lifespan)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["http://localhost:5173", "http://localhost:5174", "http://localhost:3000"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+app.include_router(api_router, prefix="/api/v1")
+
+@app.get("/")
+def read_root():
+    return {"message": "Welcome to Healthy Fit API"}