Alzheimers_disease

This project focuses on the early detection of Alzheimer’s disease using deep learning techniques applied to MRI brain scans.

The main objective is to classify brain images into different stages such as Non-Demented, Very Mild Demented, Mild Demented, and Moderate Demented.

The project involves image preprocessing, data augmentation, and building Convolutional Neural Network (CNN) models or using transfer learning approaches to improve performance.

The model is trained and evaluated using standard metrics such as accuracy, precision, recall, and F1-score to ensure reliable performance.

This system can help in early diagnosis support and assist medical professionals in identifying Alzheimer’s progression more efficiently.