High-Level Project Summary
To put all the data into our application is the essence of our idea. The software will first extract the information from all the data and then translate it into a human-readable format and store it in its memory. From there, we will also be able to make statistical reports from the data. By using this method, anybody applying a glimpse at the report and the data we get from it are also saved in memory for use in any computational system in the future. It is crucial because any scientist may quickly understand and understand any research in the provided data. Running this system alone is incredibly beneficial to any novice researcher.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
This application has a command line interface (CLI).
As we are all aware, NASA has a vast quantity of data that grows exponentially every day, making it exceedingly challenging for a researcher to work on any subject while having to start from zero. We have created an application that can scan and provide the main concept of the extremely large quantity of data in a compact manner, giving it a very easy and understanding format, to save them time and reduce their efforts. Jupyter notebook, Python, Microsoft Word, National Language Processing, NTRS PDFs (Provided by NASA), and GitHub have all been used to create this project.
As we are all aware, NASA has a vast quantity of data that grows exponentially every day, making it exceedingly challenging for a researcher to work on any subject while having to start from zero. We have created an application that can scan and provide the main concept of the extremely large quantity of data in a compact manner, giving it a very easy and understanding format, to save them time and reduce their efforts. Jupyter notebook, Python, Microsoft Word, National Language Processing, NTRS PDFs (Provided by NASA), and GitHub have all been used to create this project.
Space Agency Data
We utilized the STI Scientific Technical Information (STI) data from the Nasa Technical Report Server (NTSR).We get a lot of exposure by working on Big Data, something we hadn't heard of before.
Hackathon Journey
We thought NASA would be a wonderful experience, but when we got there, the event wasn't as exciting as we thought it would be.However, it's a fantastic opportunity to interact with technical people and view NASA data.We anticipate that such occasions will occur frequently, and interacting with NASA personnel was an excellent experience.
References
https://ntrs.nasa.gov/
https://sti.nasa.gov/docs/STI_Open_API_Documentation_20210426.pdf
https://ntrs.nasa.gov/api/openapi/
Tags
#NLP #AI #CLIapp #Spacelegacy #python #NASA