All systems operational · v0.1.0

Understand the student. Find the pack.

A student-first matching engine for 805 NC State student organizations — structured profile, semantic match, and a reason that reads like a person wrote it.

Open API docs → Check status

cURL Python JavaScript Swift

curl http://localhost:8000/match \
  -H "Content-Type: application/json" \
  -d '{ "message": "i want to build
       robots and meet people", "limit": 5 }'

# 200 OK · ~400 ms
{
  "profile": { "interests": ["robotics"] },
  "matches": [{
    "name": "BattlePack Robotics Club",
    "display_score": 99,
    "why": "You're into building robots
            and competing — that's the
            whole club."
  }]
}

ENDPOINTS

Four routes. Nothing else.

base · localhost:8000

POST /match Free-text message in. Structured profile, ranked clubs, scores, and human explanations out. ~400 ms GET /clubs Browse all 805 organizations. Paginated, with case-insensitive name search. 805 records GET /clubs/{id} One organization — description, categories, links, and its Get Involved signup page. by id GET /health Live status of the database and the local model, component by component. live

HOW A MATCH WORKS

Four steps, one request.

Message

The student says what they're into, in their own words.

Profile

A local model pulls out interests, goals, and how they like to work.

Semantic match

The profile is embedded and compared against every club vector.

Explanation

The top matches get a short, plain-spoken reason they might fit.