Alzheimers Disease Prediction Using Deep Learning

This Alzheimer's Disease Prediction Model is based on Convolutional Neural Network, a class of deep neural networks most commonly applied to analyzing visual imagery.

The model is able to predict three different stages of alzheimer's, namely Non-Demented,Mild-Demented & Very-Mild-Demented, with an accuracy of 80%.

Installation Documentation

$ sudo apt install git

$ git clone https://github.com/ShobhitBansal/Alzheimers_Disease_Prediction_Uing_Deep_Learning.git

$ Alzheimers_Disease_Prediction_Uing_Deep_Learning

$ sudo apt-get install virtualenv

$ virtualenv env

$ source env/bin/activate

$ sudo apt-get install python3.7

$ sudo apt-get install python3-pip

$ pip3 install -r requirements.txt

to launch server execute the following

  $ python3 app.py

go to the browser and open http://127.0.0.1:5000

Website Demo

Upload the MRI-Scan which needs to be tested for Alzheimer's and Click on the Submit button to generate the prediction.

Android Application

Android App based on TFLite Version of the Model