High-Level Project Summary
We develop an AI application using NLP that can improve the accessibility and discoverability of records in the NTRS and we solve the challenge that can read a collection of PDF files, summarize those files, produce statistical reports of the language usage, and list topic key words.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
We are doing these functions
1-input the pdf
2-summarize it
3-reading the summarize
4-get the keywords
5-generate text analytic data
6-finally making GUI
The benefits of it we can summarize papers for researchers and students.
The tools are
1-From NLP libraries like:
(Summarize, PyPDF2, pyttsx3, nltk)
2- From python data visualization:
(Matplotlib, seaborn)
3-python programming
4-for GUI: tkinter
5-The hardware are laptops
6- The software is jupyter or google colab
Space Agency Data
We used NTRS - NASA Technical Reports Server
Hackathon Journey
-Space Apps experience -:
We benefited from hackathon experience, the cooperation of team members, finishing tasks under pressure, patience and perseverance to achieve our goal.
-What inspired our team to choose this challenge-:
We are innovative programmers and think outside the box and this is what drives us to invent new solutions in artificial intelligence and this is what prompted us to choose this challenge.
-approach to developing this project-:
using artificial intelligence specifically natural language processing
References
Tags
#Ai #Nlp #NTRS #software #Data visualization