diff --git a/cloud/microwaveDishAnalyzer.py b/cloud/microwaveDishAnalyzer.py
index 6713f2e..b55dde4 100644
--- a/cloud/microwaveDishAnalyzer.py
+++ b/cloud/microwaveDishAnalyzer.py
@@ -1,6 +1,11 @@
 import cv2
 import numpy as np
 from typing import Dict, Any, Optional
+sys.path.insert(0, '..')
+try:
+    from shared import config
+except ImportError:
+    from ..shared import config
 
 
 class MicrowaveDishAnalyzer:
@@ -42,6 +47,17 @@ class MicrowaveDishAnalyzer:
         largest_contour = max(contours, key=cv2.contourArea)
         area_pixels = cv2.contourArea(largest_contour)
 
+        # DEBUG CONDITION: Draw and save contour image if DEBUG_DISHANALYZER is set
+        if getattr(config, "DEBUG_DISHANALYZER", False):
+            annotated_image = image.copy()
+            # Draw the contour in red (BGR: 0, 0, 255) with thickness of 2
+            cv2.drawContours(annotated_image, [largest_contour], -1, (0, 0, 255), 2)
+            
+            # Handle file extensions gracefully
+            analyzed_path = image_path.replace(".jpg", "_analyzed.jpg")
+                
+            cv2.imwrite(analyzed_path, annotated_image)
+
         # 5. Convert pixels² to cm² using scale ratio squared
         area_cm2 = area_pixels * (self.cm_per_pixel ** 2)
         return float(area_cm2)
@@ -64,13 +80,13 @@ class MicrowaveDishAnalyzer:
         return 0.85  # Default factor for plated meals
 
     def estimate_volume(
-        self, image_path: str, height_cm: float, food_label: str = ""
+        self, image_path: str, height_cm: float, food_label: str = "", config: Optional[Any] = None
     ) -> Dict[str, float]:
         """
         Computes total physical volume in cm³ (mL).
         Volume = Area (cm²) * Height (cm) * Shape Factor
         """
-        area_cm2 = self.calculate_surface_area_cm2(image_path)
+        area_cm2 = self.calculate_surface_area_cm2(image_path, config=config)
         k_shape = self._get_shape_factor(food_label)
         volume_cm3 = area_cm2 * height_cm * k_shape