AI-Based Diagnosis app

Project Code :TCMAAN336

Objective

Such type of app can be a boon for medical facilities, patients, and doctors. Using the app, patients can enter their symptoms, and the app will recommend to them which hospital or the medical facility they should visit for treatment. In short, it will help them in self-diagnosis. Another type of AI-Based diagnosis app can be synched with various medical equipment to help in treatment and diagnosis.

Abstract

Artificial Intelligence aims to mimic the human cognitive powers. AI is also into healthcare where it's been used for automating the diagnosis processes powered by increased availability of healthcare data. Many people in developing and impoverished countries are not aware of diseases.  Brain tumor detection using MRI Scans and many more.  They are not concerned about diseases as well as the treatment also. If a person does not treat his her disease in the early period of time, the disease may turn into a worse scenario. Hence, this is very important to make them conscious. For this reason, an android application is developed and this application can be used to make them aware since android mobile phone has become very popular, affordable, and available nowadays. In the newly developed android application, some of the most common diseases in the developing countries are selected. The developed android app was automated and a person could easily find out if he she has any of these disease probability. From the results, it is found that cholera, diarrhea, chikungunya, tuberculosis (TB), dengue, and lastly COVID-19 are the most frequent diseases in poor countries and therefore it has been included in the developed android application. Furthermore, the developed android applications has the ability to find out the probability to get affected by a disease.


Keywords: Artificial Intelligence, healthcare, MRI Scans, cholera, diarrhea, chikungunya, tuberculosis (TB), dengue, and lastly COVID-19

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Specifications

System Requirements

  Processor                                  - I3/Intel Processor.

·         RAM                                       - 8GB (min).

·         Hard Disk                                - 1 TB.

S/W CONFIGURATION:

Operating System                   : Windows 7+.

Programming                           : Java

Server-side Script                    : PHP

IDE                                         : Android Studio.

SDK                                        : Android

Libraries Used                         Volley, Material design.

Learning Outcomes

Learning Outcomes

·         About Android Studio.

·         Android architecture.

·         Basic about java.

·         Basic about MySQL.

·         Knowledge about server-side programming.

·         Difference between client side and server-side programming language.

·         Knowledge about server.

·         Knowledge about database and queries.

·         Knowledge about API.

·         How to communicate with API.

·         How API Communicate with Server.

·         What are Packages and dependencies regarding the app?

·         What are various versions of android app and android operating system?

·         About Android studio.

·         Client-side validation.

·         Server-side validation.

·         Difference between client-side validations.

·         Different Debugging Technique’s.

·         What is manifest?

·         About XML.

·         Widgets in android.

·         Views in android.

·         Layouts in android.

·         How to design the user Interface.

·         About activities.


Demo Video

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