Update README.md

README.md

@@ -28,22 +28,22 @@ This project is a web application developed using Flask that allows users to upl
 ### Models
 - **Potato Disease Classification Model**
    - **Classes:**
-Potato Early Blight
-Potato Late Blight
+Potato Early Blight,
+Potato Late Blight,
 Potato Healthy
    - **Techniques Used:**
-Convolutional layers for feature extraction.
-Batch normalization and max pooling for enhanced training stability and performance.
-Dropout layers to prevent overfitting.
+      -  Convolutional layers for feature extraction.
+      -  Batch normalization and max pooling for enhanced training stability and performance.
+      -  Dropout layers to prevent overfitting.
 
 - **Tomato Disease Classification Model**
    - **Classes:**
-    Tomato Early Blight
-    Tomato Late Blight
+    Tomato Early Blight,
+    Tomato Late Blight,
     Tomato Healthy
    - **Techniques Used:**
-    Similar architecture to the potato model with appropriate adjustments for tomato disease classification.
-    Batch normalization, max pooling, and dropout layers are also used here.
+      -  Similar architecture to the potato model with appropriate adjustments for tomato disease classification.
+      -  Batch normalization, max pooling, and dropout layers are also used here.
 
 
 ### Web Application