Built a simple AI that looks at brain MRI scans and tells you if there’s no Alzheimer’s, very mild, mild, or moderate signs; right now it gets it right 89% of the time . It runs on EfficientNet-B0, trains fast in Colab, and a streamlit web app where you can upload any MRI and get an instant answer. Everything is open-source

This repository contains a comprehensive deep learning solution for Alzheimer's Disease Classification using state-of-the-art DenseNet architectures optimized with Optuna hyperparameter tuning. The project implements multiple DenseNet variants for classification of Alzheimer's disease stages from brain MRI images.

This project is part of the submission for the Intermediate Data Scientist Learning Path on the Dicoding platform. It is also a part of the IDCAMP 2024 training program.