As a generation that reads a lot of political news, it is important to be able to get a wide range of information on a certain event. This lead us to make News Scan.
What it does
With News Scan, when someone opens a news article on NYT for example, the extension will scrape the web for similar articles and then use APIs to compare articles and find sentences that are not in the current article and sentences that are similar to check the reliability of the article as well as to find information not in the current article that may have been left out accidentally or on purpose.
How we built it
Challenges we ran into
Accomplishments that we're proud of
We were able to learn how to use web scraping from scratch and successfully used natural language processing libraries as well to compare articles and learnt a lot during this. We still think this idea has great potential and are hoping to work on this in the future.
What we learned
We learnt a lot of API calls and a lot about web scraping and fully learnt how to make a chrome extension from the ground up. Getting to know how to use a python flask server was also very amazing.
What's next for News Scan
We really hope to publish this extension and then finalise the service integrations so that it works seamlessly. We can publish the servers online so that they are not local and then hope that everyone can use the extension. We've got a lot of strong backend algorithms working on finding and comparing articles and we think it's a great product.