Project Overview

Today's generation uses at least 7 mHealth Wearables and Apps every day, with each of them tracking individual areas of their health. What they are missing is a platform which would connect all the devices together and do a lot more than just being a concentrated platform. .

Health-ePeople is an app that does just that. Apart from fetching and presenting the data from 200+ devices and apps in one place, the platform also connects users with caregivers for helping with their unwell family members or friends. .

UnIt doesn't end there. On the basis of the data, a predictive and prescriptive analysis sheet is drawn, helping the users in their health journey. For the universal good, all the generated data are, with consent, sent over to researchers to build the healthcare industry making it more responsive.s.


& training app

The biggest challenge that we encountered straight from the ideation stage was of getting the data from over 200 healthcare devices and apps in one place. Creating an algorithm to sync them in real time, took us a few days to get a grasp on.

  • We worked alongside our Client on the wireframe we had designed and took every broken down piece of the process.
  • We had our team of developers, designers, and testers *
  • Ensuring that every element of the panels was tested before moving on to the next.

Bringing the Segregated Healthcare Industry, Together.

The first task that we did upon getting the app idea was integrating the Human API Platform in the app. Since all the devices were the third party, we brought the Human API platform in the process. All the data first went to the API and from the API we used to fetch the information to present on the app. Next, we broke down the processes defined in the wireframe for all the three panels - Users, Caregivers, and Researchers and worked on them in Agile cycle. .