Namma Care

Latest Release : Namma Care (v1.2.0)

Inspiration

I love creating open-source apps which can assist people, when healthcarelocator SDK was made public to users it's simplicity inspired me to come with self care & simple symptom checker which can work offline and assist people around anywhere.

App Build

Check the gitlab link and you would find readme file & .apk package - ready to be installed on android devices.

What it does

Namma Care helps users to check their basic fitness status like BMI Index & BMR Index and recommends health tips to stay healthy. The core aspect of the app is general symptoms assessment and connecting to nearby HCPs, the app recommends possible cause, self-diagnosis, and matches with relevant HCP specialist based on the users response asked during assessment.

It also helps user to get educated about the Health Care domain by providing few tips on HealthCare policy resources, Medical Insurance which people can easily avail but due to lack of awareness it fails to reach underserved communities. It also promotes user to get vaccinated & find covid-19 important real-time notifications.

How I built it

I built the app on react-native keeping in mind to make cross-platform application which can run on Android, iOS & web. To make app lite, no extra 3rd party libraries or APIs were used. The logic & app is decoupled the core part being an android app and HCL SDK is hosted on VPS to make real-time updates on data. The symptom checker logic is dynamic as everything is stored in JSON, remote updates can be sent to app to easily improve the accuracy. As of now the HCPs matching/recommendation by symptoms checker recommends General Practice (01) & Dermatology (03) for demo, will be adding other specialist as future upgrade.

Challenges I ran into

The main challenge was to create logic for symptom checker which required knowledge on HealthCare domain. Running the HCL SDK was difficult at beginning but enjoyed exploring it, it's really powerful & simple which I liked the most.

Accomplishments that I'm proud of

I managed to make a functional app :) and avoided using 3rd party api's while creating my own dataset from multiple sources and planning to connect with HCPs to update data on our own servers.