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@@ -33,7 +33,7 @@ https://huggingface.co/spaces/Digital-Detectives/AI-vs-Real-Image-Detection
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  ## UI
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- https://github.com/user-attachments/assets/7d6a3c38-f7dc-4e74-8f0d-6d31653e7670
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  ## Project Outline
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  The goal of this project is to develop a deep learning model that can accurately distinguish between real images and AI-generated images. We will collect datasets of real images and fake images. The data will be preprocessed, normalized, and augmented to enhance training. Using TensorFlow and Keras, we will design a Convolutional Neural Network (CNN) for classification, and validating performance through a confusion matrix. Finally, the project will include documentation of the process, findings, and suggestions for future improvements.
 
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  ## UI
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+ <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/671fc13a4b2e5a664a9d3137/ZSo6v5V3QK-ip-PPHW_be.mp4"></video>
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  ## Project Outline
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  The goal of this project is to develop a deep learning model that can accurately distinguish between real images and AI-generated images. We will collect datasets of real images and fake images. The data will be preprocessed, normalized, and augmented to enhance training. Using TensorFlow and Keras, we will design a Convolutional Neural Network (CNN) for classification, and validating performance through a confusion matrix. Finally, the project will include documentation of the process, findings, and suggestions for future improvements.