Inspiration:
We wanted to simplify the process for new students in Chicago to connect with professors whose research aligns with their interests.
What it does:
Our platform utilizes an AI chatbot and a Python script to match students with relevant professors in Chicago.
How we built it:
We developed an AI chatbot and wrote a Python script using BeautifulSoup to scrape and update professor data.
Challenges we ran into:
We faced challenges in refining the matching algorithm and ensuring the accuracy of the scraped data.
Accomplishments that we're proud of:
We're proud of creating a seamless solution that simplifies academic networking for students.
What we learned:
We learned about the complexities of natural language processing and web scraping, as well as the importance of data accuracy.
What's next for ProfConnect:
In the future, we aim to enhance the platform's features and expand its reach to serve students in other cities as well.
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