Kidney Disease Classification

Developed a deep learning model to classify kidney diseases using medical CT scan images. The project involved preprocessing a dataset of grayscale kidney CT images, building a convolutional neural network based on the ResNet50 architecture, and training the model to detect four different classes of kidney conditions. I optimized the model's performance using data augmentation, fine-tuning, and evaluation on validation data. The final model demonstrated strong classification accuracy, showcasing the potential of AI-assisted diagnosis in the healthcare domain.