Pedra Jupiteriana| Where There’s a Link, There’s a Way

Where There’s a Link, There’s a Way

Since the COVID-19 pandemic began, there has been a proliferation of websites and portals developed to share resources about the topic. Your challenge is to find innovative ways to present and analyze integrated, real-time information about the environmental factors affecting the spread of COVID-19.

Callisto

Summary

Doing a review, we went through the challenge and identified the existing problem as a massive network of disconnected data, lacking viable ways to join and organize them, becoming greater to understand the disease, its risks and spreading. However, the complexity of reading this data can turn government officials and related make bad decisions becoming a problem. For a solution, we developed an interactive interface that turns easy the indiction and projection about spread of any disease in a controlled environment. This helps decision making, ensuring that authorities are more effective using their different kinds resources.

How We Addressed This Challenge

By the way, identifying the big problem of the data that, we can summarize it as a massive quantity, decentralization and reading complexity of data. Therefore, our solution is to create a platform that can gather this data, even in real time, and demonstrate it in an interactive and simplified way to provide authorities take more effective decisions and the best use of their resources due its scarcity. Another feature that our platform seeks to bring is the projection of new virus, diseases and anomalies so that it is possible to anticipate making decisions according to the dangerousness showed in the simulation.

How We Developed This Project

The lack of critical capacity of those responsible for a large amount of information made us see an opportunity to built a plausible and viable solution to the challenge. In addition, the team's brainstorm ended up directing and aligning our thinking towards this challenge.

The approach adopts for the development of the project a correlation with the delivery requests made by the Space Apps Challenge Brasil. We use the data available by NASA in the following way: Research and identify which data have more value to be used in our proposal; Perform queries for the respective API's in the search for the chosen information; Centralize all information within a given database; Perform cleaning and categorization processes on the data collected; Serve as a source for machine learning and deep learning algorithms that support the application.

In the development of the project, tools were used such as Nasa API’s (Meteomatics, OpenSky, Census.gov), Miro, Figma, Movive, Drawio, Google Docs, Discord, etc.

One of the main problems we faced was in the beginning, where we were unable to decide the best way to be followed in our project, so that we had a concrete problem for the solution we were developing.

Project Demo
Data & Resources
Tags
#MachineLearning, #BigData, #Virus, #VirusSpread, #Genetics, #DamageReduction, #Alive, #EveryoneCan, #Simulation, #WhatIf
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.