Dr. Sundharraj M 1 , Makila S 2 , Sakthi Keerthana M 3 , Vasundhara B 4 , 05 02 Alzheimers disease is a neurological brain disorder that progresses and isincurable Early diagnosis of Alzheimers disease can aid in effective care and stop brain tissuedestruction Researchers have used a number of analytical and machine learning models todiagnose Alzheimers disease Clinical research routinely uses magnetic resonance imagingMRI analysis to identify Alzheimers disease Because Alzheimers disease MRI data andtypical MRI data of older persons are comparable diagnosing Alzheimers disease can bechallenging In many disciplines including medical image processing cuttingedge deeplearning approaches have recently effectively proven performance at the level of a human Byanalyzing brain MRI data we suggest a deep convolutional neural network for diagnosingAlzheimers disease Our model performs better for earlystage diagnosis and can recognisedifferent phases of Alzheimers disease than most existing techniques which mostly do binaryclassification Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026