Every country has an extremely limited amount of resources when it comes to the Covid-19 epidemic, and all decisions are currently taken on wrong assumptions (in Italy we have regions where Covid shows 14% mortality rate, caused mainly by the fact that most swabs are being used to confirm deaths). We can't do anything if we don't first understand what's really going on.

A platform such as can be game-changing as it would allow to promptly identify high-risk situations before they become uncontrollable. Also, being able to get a realistic estimate of positive cases (symptomatic and asymptomatic), would be incredibly useful and allow swabs to be used only when strictly needed.

We reach conclusions through a fully quantitative-statistic approach, so the gathered data is to be analysed with algorithms (non-ML and ML) in order to reach the objective of our project.

What it does is a web-app where users can take a daily test to register their symptoms and behaviours, with respect to the COVID-19 crisis. Users are uniquely identified and geolocated, in order to gather reliable, accurate and relevant data – while at the same time protecting their privacy.

Future iterations of the platform will include localisation in other Countries (currently it's only available in Italy), as well as online doctor visits (via videocall) and other telemedicine features that allow the appropriate medical personnel to monitor the symptoms of a large part of the population directly through the platform and without putting their health at risk –– while confirming the validity of the data gathered through the platform.

How I built it

Mainly built in Ruby on Rails + Javascript. We will soon turn it into a PWA.

Challenges I ran into

We had to make many instant decisions and iterate at an extreme rate. We built the first fully-working version of the platform in less than 2 weeks – and that includes things like refining the concept with medics by working with medics and statistic experts, incorporating a company and drafting out legal matters in order to be GDPR compliant.

Accomplishments that I'm proud of

The fact that we were able to come up with this idea and build it so fast.

What I learned

I now realise what I've been missing all along in my previous projects: imperfection. The sense of urgency made us focus on speed, care about substance and not form, neglect perfection by correcting our mistakes along the way. I thought I was doing all of this already in my past projects, but I was wrong. And it turned out much better than I could've possibly imagined.

What's next for

Involving public institutions and universities, opening tests for people living in other countries, as well as introducing new features (such as telemedicine services).

Try It out



javascript, ruby-on-rails

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