Inspiration

Our inspiration was the political divide in america and how ti affects the mental health of the youth

What it does

our bot takes in either a specific topic and summarizes it in an unbiased manner or it can be provided a link and tell if the link is left leaning or right leaning

How we built it

we used a pre trained tensorflow neural network called pipeline in order to create our summarizer. Our link bias bot was made using a neural network we built from the ground up with pytorch and was trained using a dataset from kaggle of over 13 thousand data points

Challenges we ran into

Formatting our data was very difficult as the dataset had a lot of information we didnt need so we had to chop it down using python and then forma it all into lists. this issue took an unexpected amount of time to solve

Accomplishments that we're proud of

The biggest accomplishment we have had was definitely creating our link bias checker. It was extremley difficult to build and train a neural network from the ground up in the time we where given

What we learned

Our organization was really messy and awe were not able to get things done efficiently which is something our entire team needs to work on

What's next for The Real News

Our next step is to develop a UI that links with our python to make our bot even more user-friendly and accessible

Built With

Share this project:

Updates