TLTR is a python based project that reads "Terms and Conditions" inputted by the user and generate a score based on how invasive the terms are for the user.
The application analyze the inputted data, find key words, and expose to the user any important information he should know.
This application is still under development and it was created during the HackWesTX Hackathon.
Python 3.6+ Flask from flask import Flask, render_template, request, flash Rake from multi_rake import Rake Built With Python (https://www.python.org/) Multi-Rake (https://pypi.org/project/multi-rake/) Flask (https://pypi.org/project/Flask/) Bootstrap (https://getbootstrap.com/)
Future Plans: Our future goal is to: 1st) Use ML in a way the program will be able to read the Terms and Conditions and choose what words represent a benefit or a danger to the customer. Because of the time constraint (and a team that was learning while doing it) we wouldn't have time to develop it during the hackathon. 2nd) Develop a Google Chrome extension to facilitate even more the user experience.
Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Authors Cristiano Caon, Rafael Andrade, Pedro Egideo, Luiza Santos