The challenge chosen by the team was to analyze information, in real time, about the general factors that affect the spread of the coronavirus. We propose an extension for the Google Chrome browser, which analyzes the text of the current tab to verify the veracity of the data and information on that website and, thus, keep the reader informed if this information is true or even if the website on which the person is reading information is reliable. Presenting coronavirus data in a new way.
For abstraction of project ideas we used the Figma website, allowing the team to edit and create images, shapes and texts to help with abstraction. We seek to understand what could have a positive long-term impact on containing the virus, so based on awareness, a large number of people around the world appear to be indifferent or panic at the news read about the coronavirus, helping to increase the number of infected, often for not believing or for sensationalism in the information read. To get around this, we had the idea of a project to confirm that data is correct and that site has a good reputation in relation to the nature of the information. With the idea decided, we started to code the prototype using Visual Studio Code for programming, the HTML hypertext markup language and the JavaScript programming language with RegEx (for string identification). The icons used and the editing of the images for the Slide and project were created and edited all again using the Figma platform, as the voice channel we use the Discord platform.
https://youtu.be/Q0IpJwlNT48
It uses NASA and World Health Organization sets for data validation, WorldPop Api Basics and api.covid19api.com for in real time numerical comparison.