feat: add food camera and recognition features

- Implemented FoodCameraScreen for capturing food images with meal type selection.
- Created FoodRecognitionScreen for processing and recognizing food images.
- Added Redux slice for managing food recognition state and results.
- Integrated image upload functionality to cloud storage.
- Enhanced UI components for better user experience during food recognition.
- Updated FloatingFoodOverlay to navigate to the new camera screen.
- Added food recognition service for API interaction.
- Improved styling and layout for various components.

services/foodRecognition.ts

@@ -0,0 +1,34 @@
+import { api } from '@/services/api';
+
+export type FoodNutritionData = {
+  proteinGrams?: number;
+  carbohydrateGrams?: number;
+  fatGrams?: number;
+  fiberGrams?: number;
+};
+
+export type FoodConfirmationOption = {
+  id: string;
+  label: string;
+  foodName: string;
+  portion: string;
+  calories: number;
+  mealType: string;
+  nutritionData: FoodNutritionData;
+};
+
+export type FoodRecognitionRequest = {
+  imageUrls: string[];
+};
+
+export type FoodRecognitionResponse = {
+  items: FoodConfirmationOption[];
+  analysisText: string;
+  confidence: number;
+  isFoodDetected: boolean;
+  nonFoodMessage?: string;
+};
+
+export async function recognizeFood(request: FoodRecognitionRequest): Promise<FoodRecognitionResponse> {
+  return api.post<FoodRecognitionResponse>('/ai-coach/food-recognition', request);
+}