/01·Three ways in

Pick the one that sounds hardest.

You are not locked in, and you can be in more than one. Nobody here started knowing this — the tracks exist to give you a concrete goal and people to work on it with, not to sort you.

01 — Kaggle

Competitive AI

Scored against thousands of people, every day, on a problem nobody has solved for you.

You enter real competitions as a team. There is a public leaderboard you can see and a private one you cannot, and the gap between them is where most of the learning happens — it is how you find out whether you built something that generalises or something that memorised.

Start on a beginner competition where the problem is well-posed and the baseline is public. Move to featured competitions when placing stops feeling like luck.

What you come away with

  • Validation that survives contact with unseen data
  • Reading a leaderboard without fooling yourself
  • Working under a deadline you do not control

02 — Build and ship

Product

Idea to deployed, in front of people who will tell you it is broken.

Take something from nothing to running in production. Users, bugs, feedback, uptime — the parts of engineering that only show up once real people touch your work, and that no course assignment can simulate.

The platform this club runs on was built this way, by members, in the open. So was the Discord bot that registers your project group.

What you come away with

  • Shipping something you then have to maintain
  • Reading a bug report from someone who is not you
  • Making decisions with incomplete information

03 — Read, reproduce, extend

Research

Pick a paper. Reproduce it. Find where it breaks.

Take a paper apart and rebuild it from scratch. Most papers do not reproduce cleanly on the first attempt, and working out why — a missing preprocessing step, an undocumented hyperparameter, a different evaluation split — is the actual skill.

Then write up what you found, including the parts that did not work. That write-up is often more useful to the next person than the result itself.

What you come away with

  • Reading a paper closely enough to implement it
  • Telling a real result from a lucky seed
  • Writing up a negative result honestly

/02·How a project group works

A track is a lane. An SPG is the work.

A Student Project Group is a small team formed around one concrete goal in one track. You register it in the club Discord and it takes about two minutes.

What you register
Project name and track, who is on the team, how long you expect it to take and how often you will report, and what you are actually trying to do.
What it gets you
A space to work in, a reporting cadence that keeps the project alive, and the standing to request club resources.
What the club can fund
GPU and compute time, hardware, API credits, and mentorship. Requests are for registered groups and ask for proof of progress — a repository, a demo, a previous milestone.
No idea yet?
The Idea Jar holds projects people thought were worth building but will not get to themselves, each tagged with a track and what you would learn. Take one out.

You do not need to pick correctly.

Join one, try it for a term, move if it is not for you. Being in the wrong track for six weeks costs you nothing; not starting costs you the year.