Brain_detection

This project focuses on building a machine learning model to classify brain MRI scans as either healthy or affected by a tumor. The dataset contains MRI images of brains labeled as normal or tumor. The images are preprocessed by resizing and normalizing them, then augmented to improve model generalization. The dataset is split into training and testing sets, and a Convolutional Neural Network (CNN) is trained to learn patterns and features associated with healthy and abnormal brains. Finally, the model can predict the condition of the brain when a new MRI scan is provided.