print(fotons_interestelares)| Light the Path

Light the Path

The COVID-19 pandemic initiated changes in human population movements and activities around the world. Your challenge is to use Earth observations to explore how human activity and regional land-based human movement patterns may have shifted in response to COVID-19.

Technology and Innovation to Save Lives.

Summary

The solution found to the problem is develop an application that will receive data from its users and based on it, the app will provide to them some responses such as if their symptoms fit in some disease, where the disease is established, where is the nearest hospital which is less crowded and other related information. The application will use Machine Learning algorithms to identify possible false information inputted becoming, as a result, a trustworthy tool for everyone.

How We Addressed This Challenge

Our application is a powerful tool to change the way governors and society deal with the consequences of a disease and also it is an aid in combating fake news propagated by untrusted sources. Moreover, after the end of the pandemic, the app will be useful as a prevention of other possibles diseases.

How We Developed This Project

Our team was inspired by the desire to help the world in some way in such a chaotic period, that Is when the opportunity to do something for the world appeared with the hackathon of one of the largest space agencies in the world. The control of the development of the project was done by a shared file, we divide all the tasks. Part of the group made an effort for build the prototype and the others was responsible for write the questions for the final upload.

According to the images and data collected, the group was able to perceive a greater amount of lights over the quarantine months. This effect may have been caused by the lower mobility of people and the subsequent use of lights in their homes. For that, night images taken from the WORLD VIEW website, made available by NASA, were used by the layer VIIRS (Day / Night Band, enhanced contrast almost constant) that shows the Earth's surface and atmosphere using a sensor designed to capture low light emission sources, under varying lighting conditions.

We used Paint.net for build the prototype and Canva for build the presentation. We thought about the tools below if we would have to develop the application mobile:

-Mobile Front-End: Dart (flutter) -> It allows the development for android and ios using the same code for both platforms, it stands out from the other options (React Native and Xamarin) for its superior performance.

- Back-End (Web Server): Nodejs -> High performance when it comes to requests per second, and ease of asynchronous communication in real time.

-Back-end (Machine Learning): Pytorch -> Because it is a library for AI creation and training, it was preferred over Tensorflow because it is simpler to use and has open source.

-Database: MySQL -> It is a type of free and powerful database management system and it is lighter for queries than its free rival PostgreSQL.

One of the main problems was data collection because we were in a completely unusual situation, we had a plenty of data in our hands and we didn’t knew where to start. Choosing the name of the project also become challenging because we needed something impactful and creative at the same time. It was a great experience even though it was our first hackathon, we have acquired a lot of knowledge along the way and we have increased our ability to work as a team.

Tags
#machinelearning #artificialintelligence #innovation #changingtheworld #savingtheworld #startup #life #technology #application
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.