Update README.md

README.md

@@ -17,14 +17,14 @@ library_name: transformers
 ---
 
 ### Model Card for Model ID
-This model is designed for classifying images as either 'real' or 'fake-Ai generated' using a Vision Transformer (VIT) .
+This model is designed for classifying images as either 'real' or 'fake-AI generated' using a Vision Transformer (VIT) .
 
-Our goal is to accurately classify the source of the image with at least 85% accuracy and achieve at least 80% in the Recall test.
+Our goal is to accurately classify the source of the image with at least 85% accuracy and achieve at least 80% in the recall test.
 
 ### Model Description
 
 This model leverages the Vision Transformer (ViT) architecture, which applies self-attention mechanisms to process images.
-The model classifies images into two categories: 'real ' and 'fake - ai generated'.
+The model classifies images into two categories: 'real ' and 'fake - AI generated'.
 It captures intricate patterns and features that help in distinguishing between the two categories without the need for Convolutional Neural Networks (CNNs).
 
 ### Direct Use