High-Level Project Summary
The challenge is that NASA has a lot of information that is difficult to access and understand. so what we did is that we built a Website called spacegool, and our solution is in our website cause what the platform does is to give you better access information and to make a resume with an everyday language it means that its going to be more understandable, and finally the site has a speaker that explains text/images for people
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Our team made a web page, with an AI (artificial intelligence) that makes us a summary of some historical files of NASA that is located in the corpus. Our website is based on the NTRS(NASA Technical Reports Server), which has our website unlike the NTRS which is more interactive with the user. What we used for the Backend were python and a python microfromework(Flask), while for the web we used HTML where we used a framework(Boostrap), we also used as we said before the API provided by NASA(NTRS) and finally we used Xampp as a database/server. To create the AI we relied on GTP3, basically it was our base. The spacegool AI is programmed to have a mode for blind people, it basically narrates what the cursor is marking, another function is obviously to make the summary of the documents related to what the public is looking for and it also leaves the links to the documents that the AI went to and redirects them to the original NTRS document.
Space Agency Data
Some data was like the artificial intelligence that was the type of moor and what it could analyze and with that to be able to train, one of the data and we took as an example was the search engine netflix, as it helped us to see types of GPT-3 there were in each case and could search to your needs. Then we consulted with the nasa data agency in argentina to be able to access the not so confidential data to be able to work with the people and summarize the information.
Hackathon Journey
This journey was awesome to attend to because it was an experience that we learned a lot of info new people the new interest and with temptation to come back next year and to relive the experience. we also learned to work in a group, coding and alot about AI. in to seeing different projects we saw AI and it was an interesting project to begin with so got very deep in so we chose it. Of Course there were alot of problems so we worked in it asking our mentores other groups and so we want to thank all the groups of the world that participated for helping us get into hype mod, our mentors for the leccions and all the people that gave us the chance to participate for letting us have 2 best day of hard work.
References
Figma: https://www.figma.com/file/falRRTMndSsSIjvF5bppRj/SPACEGOOL?node-id=0%3A1
Genially: https://view.genial.ly/633995f0795d0900118a695d/presentation-spacegool
Office (Word): https://docs.google.com/document/d/1-hsiDjyt-IudLWWbAHUb3SnsWxqAZwXKECUa6iZOO24/edit?usp=sharing
Api-NASA: https://ntrs.nasa.gov/api/openapi/
Demo project : https://github.com/Tthenix/SpaceGool.git
Tags
#NASA #SpaceApps #Challenge #Spacegool #TMSA #IA