The problem Healthsy solves

India is facing a huge shortage of Doctors. According to the report presented by WHO, there are 0.79 doctors and 2.09 nurses per present per 1000 people. Thus, our application provides a platform for quick and accurate prediction of disease.

Physical access to hospitals is still the major barrier to both preventive and curative health services, and also the major differences between Rural and Urban India. By making use of web technology and AI people in remote areas can also get access to the health-care.

It is the biggest problem many Poor and marginalized are hit the most as by the government estimates, approx. 63 million people are faced with poverty every year because of their healthcare expenditure. Using technology in a better way healthcare can be made affordable for everyone.

Several cases are reported in recent times wheres many frauds have taken place in the name of prediction of disease. This tool can serve as a primary tool for confirmation.

Our application can predict the disease within no time without compromising accuracy. The models are trained in such a way that the predictions do not get biased. All the important features are taken care of for making predictions. This application can work on a wide range of diseases including liver, heart, diabetes, etc.

Challenges we ran into

The thing that I found challenging as an app developer was to keep the MVC pattern, the more I try to keep it simple, the more it gets complex, and the second thing that I found challenging was to keep data in sync with the cloud database with proper error handling. Then comes the Machine Learning part where the challenging thing was to collect proper datasets, clean them, build algorithms, train models, deploy them on a cloud server, and integrate them with the app.