The challenge chosen was SDG and Covid-19. One of the global objectives is to fight hunger. In the current pandemic scenario for the new coronavirus, many more vulnerable families need essential supplies. Currently deliveries are combined via social networks, however, many people are unable to find the information in the middle of various notifications. The application is simple and helps precisely those who need it.
What motivated the team was to perceive the need of the poorest population, who do not have the proper supplies and who do not get a donation due to lack of access to the internet, or if they have, of low quality. The data that were used and that will be used in the future are NASA remote sensing and satellites such as LANDSAT-8 to analyze regions where there is no electricity and where there is water pollution, it is understood that these regions are the most needy and need donations. As the application is used, the data will help NGOs, companies and entities to direct donations efforts to these regions. The biggest problems faced by the team were in the development of the application and in the merging of data provided by NASA with the solution in question. The language used for the application was JAVA and the software was android studio.
Explained video:
My name is Gabriel, a member of team 134. We created an application that connects people to make donations. The poorest regions are detected by remote sensing, mainly from NASA, from places where there is water pollution and where there is no electricity, we have the support of community leaders. The data collected helps other institutions to direct their donating efforts to these areas. The next step would be to implement artificial intelligence to automatically detect these regions, expanding the use of the app globally.
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