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PROJECT

ROOMNET

Vector-Based Roommate Matching Platform

OVERVIEW

RoomNet is a roommate matching platform designed to embed inside university housing applications. Student preference responses are embedded via OpenAI and matched via cosine similarity queries in Pinecone, returning ranked candidates at sub-second latency.

HIGHLIGHTS

  • 01Built a vector-based matching pipeline using LangChain and Pinecone
  • 02Student preference responses embedded via OpenAI and matched via cosine similarity
  • 03Returns ranked roommate candidates at sub-second query latency
  • 04Designed as a drop-in module for existing university housing portals
  • 05Semifinalist in the UNH Paul J. Holloway Prize Competition

RECOGNITION

Semifinalist — UNH Holloway Prize Competition

TECH STACK

AI

LangChainPineconeOpenAI EmbeddingsCosine Similarity

BACKEND

PythonFastAPIPostgreSQL

FRONTEND

ReactTypeScript

SCREENSHOTS

ROOMNET screenshot 1
ROOMNET screenshot 2

LINKS

GITHUB
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TYLER NORCROSS · 2026