Cat vs Dog Image Classification using VGG16 A simple deep learning project using TensorFlow and Keras to classify images of cats and dogs. Uses VGG16 pretrained model with image augmentation, training on local GPU, and supports prediction on new images.

🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.