One in five people don’t wash their hands, and of those that do, only 30 percent use soap. Further, Only about 20% of people dry their hands after washing them when damp hands are 1,000x more likely to spread bacteria than dry hands. Living in a pandemic we have a better understanding of the consequences in a lapse of proper hygiene. Our app aims to tackle this neglect in hygiene.
What it does
The NoCorona provides a contemporary social media experience to a hygiene support app. Generation Z now composes of 25.9% of the population with market ages ranging from 13 - 23. The CDC has marked the age group 18-24 and 0-17 as the highest positive testing age groups for Covid-19. It is more imperative than ever to enforce a strong habit of sanitation and cleanliness across this age group. Unfortunately this need also rests on the hardest to market to age group.
First iterations of the app focused on teaching the user by reminding the user to follow good hygiene protocol through notifications based on distance traveled and the last time they had washed their hands. The app also came with germ-related health facts to better inform the user of the importance of staying clean during a pandemic. The plan was to create an app that would remind you when you got home (based on location tracking), traveled on the subway, when they’ve reached work, or if it’s been a long time. It would spit out a notification and have timed notification subscriptions to send fun germ facts or motivational health hijinks.
Through market research we were able to create a tie between hygiene apps and apps with the largest market share inside the market age group. By adding a social media element to NoCorona we’ve created a reason for users to constantly interact with the app. These reinforced interactions will ideally build two habits. One to go on the app and interact with our social media element, and another to follow the habit of washing their hands to restart the hand wash timer.
How we built it
The application was programmed in Dart under the Flutter framework. A mixture of Android Studio and Visual studio code was used to program the app and ADK manager to emulate the app on a Google Pixel 2.
Challenges we ran into
Difficulties: 1) is there any way to somehow figure out “amount of germs” based on (miles?) No (location?) Yesish. 2) driving in a car versus walking. Nuances: 1) We can even have settings that change notifications 2) maybe we can connect to other users (like “most frequent washer,” “users in your community”) 3) if I reside at the Link, and there are other Link users, (if they allow it in their settings) the app can disclose where they traveled and if they wash their hands (accountability, if they allow such privacy intrusion).
I've included some shorthand notes of difficulties we had. Our project was research-intensive which meant finding facts that had a credible source in a sea of fake reported health statistics. Other issues included hardware compatibility issues with emulating android technology and not having the laptop specs to support VM acceleration. Weren't able to download enough ram.
Accomplishments that we're proud of
It was a first for all of our teammates to program in Dart for an app and we were happy with the outcome considering the struggles we ran into while beginning development.
What we learned
Introduction to App production Intro to Dart programming Value of project management the volatility of project scope in early development
What's next for NoCorona
One of our teammates, Orien, vows to wash his hands more frequently because of this app.
Ensuring the quality and functionality of the product we're implementing, looking into the implementation of a backend to support the social media element and dynamic data setting.