Using machine learning to determine whether a patient has diabetes or not. applied data cleansing, modeling, visualization.
Nature Image Classification is a deep learning–based computer vision project designed to automatically classify images of natural scenes into predefined categories such as forest, mountain, sea, desert, glacier, and buildings.
The system uses Deep Learning and Object Detection techniques to analyze images or video streams in real time. This project is particularly relevant for public safety monitoring, crowd management, and smart surveillance systems.
This project involves building and training a deep learning model using TensorFlow and Keras to classify grayscale images of clothing items from the Fashion MNIST dataset. The goal is to correctly predict the type of clothing (e.g., T-shirt, dress, sneaker) from a 28x28 pixel image.
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