Inspiration
Have you ever read an article or document that contained past information/statistics, and wondered how current events reflected these statistics? Oftentimes when reading an article/webpage, we wonder what sort of connections we can make with our current world and the text at hand.
What it does
Our project serves to bridge the connection between current events and the text you are reading. The extension scans the webpage for keywords related to the topic of interest, highlights them, and returns links to relevant articles from recent news
How we built it
We queried our own keywords database based on multiple relevant datasets utilizing python modules such as pandas and csv reader. We also utilized NLP to refine keyword search to better refine article search which utilized the duck-duck-go python search module.
Challenges we ran into
Deciding the search method algorithm for keywords was an initial problem we encountered. However, we eventually decided on an intuitive solution that enabled us to retrieve links effectively.
Accomplishments that we're proud of
NLP implementation, keyword search algorithm
What we learned
NLP, chrome extensions, flask
What's next for Highlights
More efficient search algorithm, topic choice based on user input instead of curated selection
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