Trios Fake News Detector

Fake data being detected as Unsafe
Actual Data being tested as Safe

Inspiration

We decided to do this because we wish that there was a fast way to tell if a news article presented false or misleading information without having to read the article and waste time.

What it does

This program looks at a piece of text or an article and compares it to a trained model that has been fed with thousands of fake and real data. From this, the program will be able to determine if the article contains fake news.

How we built it

We built the program using sklearn to create the Logistical Regression Model and trained the model using an open-source dataset. We displayed the program using Python Flask.

Challenges we ran into

The model initially wasn't working and outputted Fake News every time. We also had trouble integrating the python output onto the HTML screen.

Accomplishments that we're proud of

We are proud to integrate this program into a website rather than leaving it as a program that must be downloaded, so that it is easier for people to use.