Advanced AI for Alzheimer's: 99.38% Accurate MRI ClassificationAdvanced AI for Alzheimer's: 99.38% Accurate MRI Classification
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Vansh Chauhan
• 1d
Alzheimer's MRI Classifier — Clinical-Style AI Diagnostic Tool
Built an end-to-end Alzheimer's detection system that classifies brain MRI scans into four stages — Mild, Moderate, Very Mild, and Non-Demented — with 99.38% test accuracy.
The model runs on EfficientNet-B0, trained on MRI image data and deployed through a clean clinical-style web interface. Upload a scan, and the system preprocesses it, runs inference, and returns a prediction with class probabilities in real time.
Tech used: Python · PyTorch · EfficientNet-B0 · Computer Vision · HTML/CSS/JS
Applications: Medical AI tools · Clinical decision support · Healthcare diagnostics
Machine Learning EngineeringHTML5PythonTensorFlow
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