Inspiration

As we were trying to find a way to collect more data about the rise and spread of zoonosis diseases, we realized that community reports play a vital part in recognizing potential threat early and effectively. But to motivate people to speak up and take actions, we need to make them believe that their voices matter, and that public pressure building up will make the people in charge tackle their concerns more seriously. Enter Deasy - a platform where people can report and see their reports turning into concrete movement.

What it does

We aim to build a system for crowdsourcing reports about local environmental issues by local people. Every report will be processed via Machine Learning algorithms to be clustered into major issues to be verified and reported to local authorities. Contributors of such reports can follow, in real time, the progress of each issues, from discovery, investigation, to solution.

This system will help:

  • Induce community engagement with environmental issues around them.
  • Provide transparency on how issues are dealt with.
  • Drive authorities to work more seriously under public supervision.
  • Generate valuable data for experts and lawmakers to evaluate potential risks and react accordingly/

How I built it

We programmed a prototype of how the system would look like during the duration of Zoohackathon Asia 2020 - a web app at zoohackathon-kstn.vercel.app. The app starts by showing users a map of the world, with each environmental issue indicated as a marker on the map. The user can see what each issue is about by tapping on the markers, or browsing them from a list of hottest issues/issues they are following.

When an user wants to voice their concern about an environmental issue, they can make a report on the web app. Each report consists of:

  • A category: Disease spreading, Wildlife trafficking, Destruction of natural habitat, etc...
  • A location where the problem is happening
  • A short description, and
  • Some images at the scene of the report

These reports will be processed in the server, to filter out spams, duplicates and cluster them into larger issue. When enough people report about the same issue, that issue will be published publicly on the main interface of the app, where more people can contribute to. Every reporter who contributed to the issue will be notified about the issue going public, and can register to follow its progress in real time.

At the same time, the Deasy team will work on verifying the issue, and reporting to the local authority if the issue is confirmed to be real. Deasy will work with them to update to the users on how the issue is progressing, and what actions the authority is taking to resolve it.

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