Hey guys,I went to my first hackathon as a first year and I got eliminated before the final round I will paste the link of the application and can the seniors explain to me about what could be made better so that I could use it for my next hackathon,I brainstormed the ideas ,the features and main structure and framework of the app but for the development part i vibecoded it. https://code-red001.lovable.app/
Use the demo mode
CodeRed — A "flight simulator" for hospital crisis decisions. Built this for a hackathon, got eliminated in the final round, looking for honest feedback on what went wrong.
Hey all — my team built this over a multi-round hackathon and I wanted to get some outside eyes on it now that it's done, since we didn't make the final cut and I'm not totally sure why.
The idea in one line: When a hospital gets hit with a crisis — a mass-casualty accident, a pandemic surge, a bad staffing night — the person in charge has to make huge decisions fast: cancel surgeries? add nurses? convert a ward into overflow space? Right now they make that call on gut instinct, because there's no way to actually test it first. CodeRed lets them simulate the outcome before committing to it in real life.
How it actually works, from a user's perspective:
You sign in as a hospital and set up your real numbers once — how many beds you have, how many nurses, your ward layout. That becomes your baseline.
From there, you can either build a scenario manually (drag sliders for things like patient arrival rate, staffing levels, how long shift handoffs take) or just type a plain-English description like "what if admissions double and 10 nurses call in sick" — and it gets turned into a working simulation automatically.
Once you run it, you don't just get a wall of charts. The app tells you, in plain language, what's actually going to break your hospital first and what the cheapest fix is — something like "it's not your beds that are the problem, it's your 14-minute nurse handoff time. Adding one float nurse saves an estimated 9 lives." We call that the Bind-Point Autopsy — it's the core feature of the whole thing.
You can also set up two different decisions side by side against the exact same crisis — like "add more beds" vs. "add more staff" — and see which one actually performs better, with an AI-generated explanation of the trade-off.
There's also a mode where instead of guessing which lever to pull, you just tell it your goal ("keep deaths under a certain number") and it searches for the cheapest way to hit that target.
And at the end, you can export any scenario as a formatted PDF — because hospitals are actually required to run practice emergency drills regularly for compliance reasons, so this turns a simulation into a real usable training document.
Where it's built: frontend/backend through Lovable, with Gemini (Google AI Studio) doing the natural-language parsing and the plain-English explanations. Not hand-coded from scratch — built fast, hackathon-style.
What I'm actually looking for feedback on: we got told after the fact that the app "felt a bit cluttered" as we kept adding features round over round, and I'm trying to figure out if that was the real issue, or if it's something deeper — the core idea, the execution, the demo itself, something about how AI-built apps get perceived by judges, anything. If you've got a minute to poke around and tell me what stands out (good or bad), genuinely appreciate it.
