Deep learning-based medical imaging system for Alzheimer’s disease stage classification using MRI scans. The application employs a convolutional neural network (CNN) to analyze 128×128 grayscale brain images and predict one of four stages: Normal, Mild, Moderate, or Severe. Built with a full-stack architecture combining a FastAPI backend and Streamlit frontend, the system provides real-time inference along with class probability visualization.