Inspiration
As undergraduate student researchers, we've personally been tasked with conducting literature searches and reviews, but the process was overwhelming and time-consuming. Without the knowledge of where to find papers and how to identify if they were relevant, it was very challenging to get started. By creating Reseacher Copilot, a tool that aids you in the process of finding papers, students and researchers alike can focus on innovation over tedious processes.
What it does
Researcher Copilot helps you find papers relevant to your interests and research topic. It uses AI to parse through hundreds of papers and recommends those that are most relevant to your topic. After selecting several papers, you can organize them in your digital whiteboard.
How we built it
We used React, Groq, TypeScript, Python
Challenges we ran into
Fully flesh out the idea and figure out the user workflow. At first, we had a lot of ideas for the project and wanted to expand to all the aspects of literature reviews (brainstorming, literature search, literature review, drafting, and final paper), however, we had to cut it down due to the limited time frame of the hackathon.
Accomplishments that we're proud of
We are proud of how much we learned and persisting despite the challenges with implementing new things that we have never done before.
What we learned
We learned that communication is important, and being able to communicate ideas to one another, and making sure we are on the same page. Also, it was important for us to really talk through and draw out the user flow, since it made it a lot more clear in the development stage.
What's next for Researcher Copilot
We want to expand our application to assist with other parts of the literature review process.
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