Inspiration
We are sick and tired of news articles that give misleading/biased views on world events. This project is way to slightly curve that issue.
What it does
This application webscrapes data and works with the nltk module to give an accurate sentiment analysis of an article. It will then allow you to compare the results to other webpages. There is also another feature that allows you to send parts of the article to open ai api to give a best estimation of the event.
How we built it
We combined our skills in both python, open ai api , and some ductape in order to create this application.
Challenges we ran into
Tkinter was used to create a GUI. One of our members is much more well versed in both html and css in the creation of front-end product. Python is rather weak when it comes to GUIs and the member had issues adjusting to it. Webscraping for the other teammate went much better. It was still hard as getting the data was easy but parsing it/getting the info we needed was very hard.
Accomplishments that we're proud of
The web scraper works + sentiment analysis + open ai api. It was very fun to learn how all this works together.
What we learned
In web scraping getting the data is easy. Organizing/extracting what you want is hard.
What's next for Hack the Truth
Possibly an edition that webscrapes and tells you history about memes.
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