Smart Helath Consultant

The 2019 novel coronavirus disease (COVID-19) has spread to more than 213 countries and as of 17th April 2020, 1995,983 confirmed cases and 131,037 deaths have been reported globally. Pakistan being sharing border with China and Iran, having high frequency of travel and trade has been at risk of vir

Project Title

Smart Helath Consultant

Project Area of Specialization

Artificial Intelligence

Project Summary

Project Name : Smart Health Consultant

Project Summary :

The 2019 novel coronavirus disease (COVID-19) has spread to more than 213 countries and as of 17th April 2020, 1995,983 confirmed cases and 131,037 deaths have been reported globally. Pakistan being sharing border with China and Iran, having high frequency of travel and trade has been at risk of viral transmission. According to the current situation of covid-19 in Pakistan we could see that the general OPDs and doctors clinics are closed so peoples who are facing problems related to general health (for example immunity , skin , energy , stress etc) problems and they are searching for a reliable source for overcoming there issues through vitamins and herbal products and they could not go to hospital or clinic . so we are providing a platform for such peoples to find recommendation of how to overcome there problems related to vitamins by using herbal powders or vitamins . we are developing a website in which different questions will be asked to the user about his health and age etc on the basis of the information provided by the user our website would recommend some vitamins or herbal products to users and theses products is not intended to diagnose , treat , cure or prevent any disease.

Project Objectives

Objective :

The objective / outcome of this project will be the facilation it will give to the user that user could easily solve there issues related to there general health . and these issues would be solved by reliable resources .

Project Implementation Method

Project implementation :

We will use Machine Learning algorithm which suits best and gives the best accurate result on the given dataset.  we have collected dataset from Kaggle . 

Softwares Used : Android Studio , Jupyter Notebook (Anaconda Navigator) 

Benefits of the Project

Benefits :

We set out to create an android application which can predict disease on the basis of symptoms given to it. Such an application can decrease the rush at OPDs of hospitals and reduce the workload on medical staff.  Such a system can be largely reliable to do the job.

Technical Details of Final Deliverable

Technical Details :

In this Application we are using Big Data and Machine Learning Algorithms so the accuracy of the disease predicted would be 90% . we are using python for implementing Machine Learning Algorithm and the communication between python and android studio would be performed through Web API.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

IT , Health

Core Technology

Big Data

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com