feat: AI patient onboarding backend and documentation

ai-patient-onboarding/app/main.py

@@ -0,0 +1,52 @@
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+
+from app.api.documents import router as documents_router
+from app.api.onboarding import router as onboarding_router
+from app.api.voice_onboarding import router as voice_router
+from app.database import models
+from app.database.database import Base, engine
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    Base.metadata.create_all(bind=engine)
+    yield
+
+
+app = FastAPI(
+    title="AI Patient Onboarding API",
+    description="Multi-Model Voice-First Hospital Patient Onboarding Engine (Sarvam + OpenAI + Claude + Gemini)",
+    version="1.0.0",
+    lifespan=lifespan,
+)
+
+# Enable CORS for React Web & Mobile clients
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+app.include_router(onboarding_router)
+app.include_router(voice_router)
+app.include_router(documents_router)
+
+
+@app.get("/health")
+async def health():
+    return {
+        "success": True,
+        "service": "AI Patient Onboarding",
+        "status": "healthy",
+        "models": {
+            "speech": "Sarvam AI (Indian Languages) / OpenAI Whisper",
+            "conversation": "OpenAI GPT-4o-mini",
+            "validation": "Claude 3.5 Sonnet",
+            "vision_documents": "Gemini 1.5 Flash",
+        },
+    }