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  1. Identifying-The-Tuberculosis-Within-The-Chest-X-Ray Identifying-The-Tuberculosis-Within-The-Chest-X-Ray Public

    Here I have created a convolution deep neural network architecture that correctly identifies tuberculosis infected chest x-ray with an impressive accuracy of 90 percent.

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  2. Lisa-An-AI-That-Writes-Lovely-Poems Lisa-An-AI-That-Writes-Lovely-Poems Public

    Here in this project, I have created a system that uses natural language processing and a deep learning system that writes heart-wining beautiful poems.

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  3. Identifying-Nine-Tomato-Disease-With-Deep-Learning Identifying-Nine-Tomato-Disease-With-Deep-Learning Public

    Here I have created a deep convolutional neural network architecture that correctly identifies the nine harmful tomato diseases with an accuracy of 94 percent.

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  4. Foretelling-The-Stock-Price-Behavior-With-Major-News-Headlines Foretelling-The-Stock-Price-Behavior-With-Major-News-Headlines Public

    I have created a deep learning model that pre-determines how the stock price of a company will behave by taking into accounts the sentiment of major news headlines of that day.

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  5. Bruno-An-That-Paints-Mind-Blowing-Painting Bruno-An-That-Paints-Mind-Blowing-Painting Public

    Here I have created an unsupervised deep learning system that produces real word-like paintings by following neural style transfer technique and using transfer learning in form of the Vgg19 model.

    Jupyter Notebook 1

  6. Breast-Cancer-Segmentation-With-Advance-Attention-U-Net Breast-Cancer-Segmentation-With-Advance-Attention-U-Net Public

    In this project, I have developed attention U-Net segmentation model that accurately segments the breast cancer-infected region from the breast ultrasound images.

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