HireMeNow

Inspiration

At our last career fair we waited in line for nearly an hour, only to be told “sorry, we don’t hire sophomores.” That frustration made us realize: both recruiters and students are wasting time in outdated recruiting processes.

What it does

HireMeNow is like Omegle for recruiting. Recruiters enter their job requirements, our system instantly matches them with eligible candidates, and both hop into a 5-minute video call. The call is auto-transcribed, summarized by AI, and the recruiter makes a quick YES/NO/MAYBE decision. Candidates get instant feedback by email.

How we built it

We used Firebase for authentication and Firestore to store recruiter specs and candidate profiles. Our predicate logic matching algorithm ensures only relevant candidates are connected. The video calls run through Jitsi, while Whisper handles transcription and a summarization model condenses the conversation. Finally, Brevo API sends email updates to candidates.

Challenges we ran into

Parsing free-text job descriptions into structured logic was tricky.

Getting real-time video + transcription working smoothly under time limits.

Balancing hard constraints (like “3 years Python”) with soft ones (like location) without excluding good candidates.

Accomplishments that we're proud of

Built a working end-to-end demo in just a hackathon.

Implemented predicate logic in a real product scenario.

Showcased how AI can make recruiting more fair and efficient.

What we learned

How to combine discrete math + AI models in practical systems.

How to quickly spin up full-stack prototypes with Firebase + Vite + Tailwind.

Importance of user experience — recruiters want instant, candidates want feedback.