We developed a web application to address this challenge. It's important because it collects very complex "space" data and displays it to the user in a more readable, and understandable format. It retrieves data about astronomical observations, and presents them to the user in several ways - on a "sky sphere," in a list, and in the form of a search engine which displays an image of the requested object.
We were inspired to choose this challenge because we're interested in astronomy, and web application development. We developed the project by working together via voice chat, and using GitHub. We used Python, Flask and HTML/CSS to create the majority of the application. We had a couple of problems with optimizing data collection and display, primarily from a lack of deep knowledge about the subject, also some last minute troubles with hosting. However, we also had some great achievements - we successfully created a skymap with plotted, selectable objects, and we also created a functioning HEASARC search feature (although it is a bit slow, due to problems unrelated to our application).
We directly used HEASARC data from NASA, and NEOSSat data from the CSA, because the purpose of this project was a map-based search engine, which helps people navigate through the databases.
https://youtu.be/NC497kBiet4
HEASARC - https://heasarc.gsfc.nasa.gov/vo/summary/python.html
NEOSSat - ftp://data.asc-csa.gc.ca/users/OpenData_DonneesOuvertes/pub/NEOSSAT/
SkySphere - Created by Sonia Zorba, located at http://zonia3000.github.io/SkySphere
Flaticon - https://www.flaticon.com/authors/bqlqn