You walk into the Generative AI for Good hackathon and it feels like a lot at once. New people. Big problems. A clock that starts running fast. So this participant guide is here to keep things clear while you build. Not in a boring way, more like a map you can actually use when your brain is full.

We start with goals and rules because yeah, you need the boundaries before you sprint. Then we get into teaming up, because the right team can save your whole weekend. After that it goes into tools and data, what you can use, what you should not touch, and how to avoid getting stuck on setup when you should be testing ideas.

Then comes responsible AI and safety. This part matters a lot for “for good” projects. It is not just about being nice. It is about not causing harm by accident, like leaking private info or making something that pushes bias harder.

From there it gets more hands on. Project ideas if you are blanking out. A build sprint plan so you do not spend 10 hours polishing slides while the app does not work. A submission checklist so nothing important gets missed at 2 a.m.

Judging criteria and demo tips are next because judges are humans and demos are weirdly stressful. You want to show impact fast, explain what is real, and be honest about what is still rough.

And after the hackathon ends, it does not have to die in a folder. Post-hackathon next steps helps you figure out pilots, partners, open source options, or even just how to write down what you learned so it sticks.

If I had one point of view while writing this, it is simple. Build something small that helps someone real, prove it works even a little bit, then tell that story cleanly.

So yeah take a breath, pick a problem worth caring about, and let’s get moving.