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README.md
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## UI
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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.
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