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/ai/nutrition.py

@@ -0,0 +1,25 @@
+import dspy
+from pydantic import BaseModel, Field
+
+class NutritionalInfo(BaseModel):
+    name: str
+    calories: float
+    protein: float
+    carbs: float
+    fats: float
+    micros: dict | None = None
+
+class ExtractNutrition(dspy.Signature):
+    """Extract nutritional information from a food description."""
+    description: str = dspy.InputField(desc="Description of the food or meal")
+    nutritional_info: NutritionalInfo = dspy.OutputField(desc="Nutritional information as a structured object")
+
+class NutritionModule(dspy.Module):
+    def __init__(self):
+        super().__init__()
+        self.extract = dspy.ChainOfThought(ExtractNutrition)
+
+    def forward(self, description: str):
+        return self.extract(description=description)
+
+nutrition_module = NutritionModule()