The objective of this project is to develop a predictive model that can identify the early stages of Alzheimer’s disease (AD). Early diagnosis of AD can significantly improve the effectiveness of treatment and management strategies, potentially slowing the progression of the disease. This project will leverage machine learning techniques on various data sources, such as medical imaging, genetic data, and cognitive test results, to create an accurate and reliable prediction system.
Background and Motivation
Alzheimer's disease is a progressive neurodegenerative disorder that affects millions worldwide, leading to memory loss, cognitive decline, and ultimately loss of independence. Early diagnosis is crucial but challenging due to the subtlety of initial symptoms. Current diagnostic methods rely heavily on clinical assessment and are often made at advanced stages. By predicting the onset of AD in its early stages, we can provide better intervention options, potentially improving the quality of life for patients and reducing healthcare costs.
Technology Used in the project :-
- We have developed this project using the below technology
- HTML : Page layout has been designed in HTML
- CSS : CSS has been used for all the desigining part
- JavaScript : All the validation task and animations has been developed by JavaScript
- Python : All the business logic has been implemented in Python
- Flask: Project has been developed over the Flask Framework
Supported Operating System :-
- We can configure this project on following operating system.
- Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
- Python 3.7, PIP, Django.
- Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.
Installation Step : -
- python 3.8.0
- command 1 - python -m pip install --user -r requirements.txt
- command 2 - python app.py