Update README.md

README.md

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 This repository hosts an AI model and toolkit for the detection of fake or manipulated images generated by AI algorithms. With the proliferation of deepfake technology and the potential for misuse, it's crucial to develop reliable tools for identifying such content.
 
-Our goal is to provide a state-of-the-art solution for detecting AI-generated fake images. This project incorporates cutting-edge computer vision and machine learning techniques to classify images as genuine or manipulated.
+My goal is to provide a state-of-the-art solution for detecting AI-generated fake images. This project incorporates cutting-edge computer vision and machine learning techniques to classify images as genuine or manipulated.
 
 ## Key Features
 
-- **Deep Learning Model**: We have developed a deep learning model capable of identifying AI-generated fake images based on various visual cues and artifacts.
+- **Deep Learning Model**: I have developed a deep learning model capable of identifying AI-generated fake images based on various visual cues and artifacts.
 
-- **Pre-trained Weights**: We provide pre-trained model weights for easy use, but also offer the option to fine-tune the model on custom datasets.
+- **Pre-trained Weights**: I provide pre-trained model weights for easy use, but also offer the option to fine-tune the model on custom datasets.
 
-- **Jupyter Notebooks**: Explore our Jupyter notebooks for in-depth tutorials and analysis of the model's performance.
+- **Jupyter Notebooks**: Explore my Jupyter notebooks for in-depth tutorials and analysis of the model's performance.
 
-- **Data Augmentation Tools**: We include data augmentation scripts to help you create a diverse dataset for training and testing.
+- **Data Augmentation Tools**: I include data augmentation scripts to help you create a diverse dataset for training and testing.
 
 ## Getting Started
 
@@ -24,7 +24,7 @@ Our goal is to provide a state-of-the-art solution for detecting AI-generated fa
 
 ## Model Performance
 
-Our model has been rigorously tested on benchmark datasets and exhibits impressive accuracy in detecting AI-generated fake images. Details on evaluation metrics and results can be found in the documentation.
+My model has been rigorously tested on benchmark datasets and exhibits impressive accuracy in detecting AI-generated fake images. Details on evaluation metrics and results can be found in the documentation.
 
 ## Documentation