This project is an AI-driven diagnostic system designed to assist doctors in early detection, analysis, and monitoring of Alzheimer's Disease. Using deep learning, Grad-CAM analysis, and biomarker evaluation, the system provides detailed insights into brain scans, helping medical professionals make informed decisions.
✅ Secure Doctor Authentication – Login & manage patients securely.
✅ Patient Management – Add, store, and manage patient records efficiently.
✅ MRI/CT Scan Upload – AI-powered analysis of brain scans.
✅ AI-Powered Diagnosis – Predict Alzheimer’s severity with deep learning models.
✅ Explainable AI (Grad-CAM) – Visual heatmaps for better interpretability.
✅ Extensive Report Generation – Includes prediction scores & biomarker analysis.
✅ Data Storage & Historical Analysis – Monitor patient progression over time.
1️⃣ Doctor logs in and accesses the patient management dashboard.
2️⃣ New patients are added, and medical records are maintained.
3️⃣ Brain scans (MRI/CT) are uploaded for AI-powered analysis.
4️⃣ AI model predicts the likelihood of Alzheimer’s and highlights affected areas.
5️⃣ Detailed reports are generated, including Grad-CAM heatmaps and biomarker insights.
6️⃣ Doctors store patient reports and track disease progression over time.
- Frontend: React + Tailwind CSS
- Backend: Node.js + Express.js
- Database: PostgresSQL
- Machine Learning: Python (TensorFlow/Keras, OpenCV)
- Authentication: JWT