Update README.md

README.md

@@ -97,6 +97,7 @@ tags:
 	        - Activation: Softmax (to output probabilities for each class).
 - **Model Performance:**
     ![Model Performance](./pics/audio-performance.png)
+    ![Confusion Matrix](./pics/confusion-matrix.png)
     1. Accuracy and Preprocessing (Table Summary)
 	    - The CNN model achieves the highest accuracy of 98.37% in the 8th configuration.
 	    - Key factors contributing to this performance:
@@ -106,9 +107,9 @@ tags:
 	        - 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.
     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)
+        - 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.
+    
     
 
 ## Model Usage