Awards & Nominations
Galaxygems has received the following awards and nominations. Way to go!


Galaxygems has received the following awards and nominations. Way to go!

A mobile app that provides a unique experience for the scientist, explorers, and space lovers. Scientists from different divisions cannot easily find the intersection points between their sciences to solve space problems. We aim to help them in this task by developing an AI tool to recommend possible collaboration areas. Additionally, there are many “what if” questions raised by passionate space people with no satisfying answers. We aim in our solution to provide a “what if” simulator where some related answers can be provided. We believe that our solution is important because it opens a great space to explore and discover new things out of curiosity and imagination, yet in a scientific way.
To be more specific, our project consists of three main tools as the following:
First, a mobile application that replicate some services from NASA’s SMD platform such as storytelling, science repositories, etc. Most of the users prefer the mobile app experience more comparing to the website browsing experience. So, larger audience can navigate and explore NASA’s repositories. The prototype of the application is under development using Android Studio, Java script, and MongoDB.
Second, a “what if” simulator will be added as a service in the mobile application. The basic functionality of the simulator depends on a chatbot developed using Python language. The information that feed the chatbot are collected from NASA’s data repository. The simulator uses NLP algorithm to understand the users’ questions and then will use pattern matching algorithms to find possible answers. The answer with the highest matching score will displayed first. For some specific cases, a visual representation for the answer can be provided.
Third, scientists will be allowed to add some facts and information in their field to share it with everyone else. Based on the added facts, a smart parser will check other sciences and will inform the scientists about related facts in other fields which is gathered from NASA’s data repositories or even from facts added by other scientists. This will allow to see the possible collaboration points among different science divisions. This tool is also developed using python utilizing several libraries such as panda, scipy, etc.
We rely mainly on the data repositories in NASA's Science Mission Directorate (SMD) platform as the following:
https://science.nasa.gov/toolkits
https://svs.gsfc.nasa.gov/
https://www.nasa.gov/nasasciencelive
https://science.nasa.gov/
· Astrophysics Data Archive
· Planetary Science Data Archive
· Heliophysics Data Archive
· Earth Science Data Archive
· Biological and Physical Sciences Data Archive
· SMD toolkits
· NASA science visualization studio
All the resources above are used by the parser and chatbot developed to enable both “What If” simulator and Connection Points services.
The experience was very exciting and a bit challenging in the same time. We have worked on several machine-learning projects before but this one is very special. This is because we are trying to build AI models that tackle areas that we do not know much about them.
All of the team members from the same university. Our theme -in the university- for this year is “Space is our limit”. Therefore, when we came across this challenge, we knew that we should participate and contribute.
As a team, we come from different backgrounds but most of us are computer scientists. When we started working together, we felt how it is difficult to communicate the concepts from different background. This motivated us to solve this challenge “Discovering Science Connections”. May be we did not complete the whole prototype yet, but we know that we have a solid idea and we can complete it soon.
We would like to thank the Saudi Space Commission for arranging SAUDI APP Hackathon that helped us to build up the idea in short time. Their feedback was important to make it clear and focused. We would also thank Effat University represented by the president Dr. Haifa Jamal Al-Lail for giving us all the support to work on this project.
· Astrophysics Data Archive
· Planetary Science Data Archive
· Heliophysics Data Archive
· Earth Science Data Archive
· Biological and Physical Sciences Data Archive
· SMD toolkits
· NASA science visualization studio
· Textbooks and online tutorials in Machine learning and Mobile App development
· https://science.nasa.gov/citizenscientists
#3dapp #sciencediciplines #marvelinspired #artificialintelligence #smdtoolkits #What_if_simulator #sciences_connection #machine_learning #space_chatbot #heliophysics #astrophysics
This project has been submitted for consideration during the Judging process.
The NASA Science Mission Directorate studies our home planet’s systems while exploring the worlds in our solar system and the elements of the larger universe. Your challenge is to find the connections between the diverse NASA science disciplines and communicate those linkages in an innovative and interesting way to new and diverse audiences.
