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1. Real-vs-Fake-Image-Classification Real-vs-Fake-Image-Classification Public

   Employ deep learning and transfer learning techniques to classify images as "fake" or "real," ensuring authenticity preservation.

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2. Accent-Classification-And-Conversion Accent-Classification-And-Conversion Public

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3. Flood-Detection Flood-Detection Public

   Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to e…

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4. Visualization-Project Visualization-Project Public

   The project provides a comprehensive visualization and analysis of the World Happiness Report data from 2015 to 2019. Through various visualizations, it explores the key factors influencing global…

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6. Social-Media-Application Social-Media-Application Public

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