Inspiration
Each and every one of our team members has had a problem with Google Scholar and the way it handles browsing research papers. Although there are filters and you can be as verbose as you'd like to, there's a fundamental flaw in browsing recent papers to keep up with what has been published. Many times, publishers include 'clickbait' titles, and other times, those titles aren't intriguing enough. This leads to big problems within academia, most notably the amount of effort it takes to keep up with recent papers. These problems can eventually lead to over-extenuation of the brain from reading all of the seemingly nonsensical words that come with detailed research papers and take away from their time doing other, more important things.
What it does
RE Search is a highly unique state-of-the-art search engine that uses AI to both filter and specify search results. It's used to search all research papers to determine what's worth reading and what's not.
How we built it
Our tech stack includes: Python React Next.js Google Gemini
Challenges we ran into
Challenges we ran into is that it's hard
Accomplishments that we're proud of
What we learned
What's next for Untitled
RE Search is at its heart a learning tool designed for fast and efficient analysis of text. We shouldn't limit it to that function, however. Our 5-year plan is to become the quizlet of research papers... whatever
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