Update README.md

README.md

@@ -2,26 +2,20 @@
 license: apache-2.0
 ---
 
-1. Project Title and Description
-2. Purpose
-3. Installation Instructions
-4. Usage Instructions
-5. Model Architecture
-6. Training Details
-7. Evaluation
-8. Examples
-9. Contributing
-10. License
+Real vs AI-Generated Image Classification
 
-# CNN Image Classifier
+This project provides a Convolutional Neural Network (CNN) model for classifying images as either 'real' or 'fake'.
+CNN is a type of deep learning model specifically designed to process and analyze visual data by applying convolutional layers that automatically detect patterns and features in images.
+Our CNN model is based on 2,800 real images and AI-generated images, which are divided equally.
 
-## Description
-This project provides a Convolutional Neural Network (CNN) model for classifying images as either 'real' or 'fake'. The model is based on the ResNet50 architecture and has been fine-tuned for binary classification tasks.
+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. 
 
-## Purpose
-The CNN model is designed to classify images into two categories: 'real' and 'fake'. This can be useful for various applications, including detecting AI-generated content.
+5. Installation Instructions
+6. Usage Instructions
+7. Model Architecture
+8. Training Details
+9. Evaluation
+10. Examples
+11. Contributing
+12. License
 
-## Installation
-Ensure you have the following dependencies installed:
-```bash
-pip install tensorflow numpy opencv-python scikit-learn