Update README.md

README.md

@@ -105,10 +105,11 @@ tags:
 	        - No Noise Addition: Training without additional noise leads to better feature retention.
 	        - Library: Keras is used for training and architecture implementation.
 	        - Sample Rate: A consistent sample rate of 16,000 Hz was maintained for all preprocessing steps.
-    ![Confusion Matrix](./pics/confusion-matrix.png)
     2. Confusion Matrix Analysis
       - High Precision: Minimal false positives suggest the model is very specific when identifying emergencies.
 	  - High Recall: Minimal false negatives indicate that most emergencies are correctly identified.
+    ![Confusion Matrix](./pics/confusion-matrix.png)
+    
 
 ## Model Usage
 - `Silver Assistant` Project