Inspiration
As university students, it's hard to find time in our busy schedules to learn about events happening in our area, costing us precious opportunities to network and finding professional prospects.
What it does
To combat this, we created Hobnob, a networking extension tool that allows you to be updated on current events and opportunities happening around them, matches them with people with similar interests and profile using AI. Additionally, it upgrades your personal tool set through the Tutor system, ultimately enhancing your portfolio!
How we built it
We built it using NextJS and ReactJS frameworks, implementing the MongoDB APIs to create users and get users. We also used vectorized search function to match users together, while all the application data is processed onto, stored from, and retrieved from MongoDB using Rest API. We used NLP for matching people going for a particular event with a specific reason based on their profile and history.
Challenges we ran into
Initially, we ran into an issue with the LinkedIn 3-Legged Authorization. However, we were able to overcome this issue and continue forward.
Accomplishments that we're proud of
Before, we used vectorized search on Pinecone. But this time, we used it on MongoDB, which was a new and exciting experience!
What we learned
We learnt that vectorized search is better on MongoDB.
What's next for Hobnob
The next step for Hobnob is becoming an official partner with LinkedIn, planning out a business model for the website, and pushing out new firmware and software updates to finalize the project, and bring it to launch!
Built With
- express.js
- linkedin-developer-api
- mongodb
- nextjs
- openai
- rest
- tailwindcss
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