“NeuroMind: Alzheimer's Predictor by MRI Scan”
Mr.A.A.Patelkhan
Guide of our team from computer Technology department
From K .K. Wagh Polytechnic, Nashik
Radhika Mehendale
Computer Technology &
K .K. Wagh Polytechnic, Nashik
Pooja Vitokar
Computer Technology &
K .K. Wagh Polytechnic, Nashik
Sahil Pathade
Computer Technology &
K .K. Wagh Polytechnic, Nashik
Pushkar Vasaikar
Computer Technology &
K .K. Wagh Polytechnic, Nashik
Abstract:- Alzheimer’s disease is a progressive neurological disorder that impairs memory, cognition, and daily functioning, creating major challenges for patients, caregivers, and healthcare systems. Early detection and timely intervention are essential to slow disease progression and enhance quality of life. This study presents NeuroMind: Alzheimer’s Predictor & Care Navigator, an AI-powered healthcare platform designed to predict Alzheimer’s disease stages, provide personalized care guidance, and support patient–doctor connectivity. The system uses deep learning techniques, particularly convolutional neural networks (CNNs), to analyze MRI scans and accurately classify disease stages. In addition to prediction, the platform delivers customized insights on causes, management strategies, and treatment guidance. Key modules include disease stage prediction for accurate classification and personal insights, a doctor finder to locate nearby neurologists, a doctor management system for maintaining patient health records, and a PDF report generator for producing shareable diagnostic reports. The platform integrates a secure backend for data storage and a user-friendly interface for accessibility. Expected outcomes include high prediction accuracy, improved patient–doctor coordination, and enhanced caregiving support through data-driven recommendations. Overall, NeuroMind provides a comprehensive solution for early detection, personalized care, and effective management of Alzheimer’s disease.
Key Words: Alzheimer’s Disease, Deep Learning, CNN, MRI Analysis, Doctor Finder, Healthcare Platform
