Am I Cooked? is a web app built for UW-Madison students that tells you — with real data and zero mercy — how cooked your semester actually is.

You paste your course list (and optionally your professors). The app pulls real historical grade distributions from Madgrades, fetches professor ratings from RateMyProfessor, and factors in labs, discussions, credit load, and course structure to compute a Cook Score from 0 to 100. Then GLM-5.1 (accessed via OpenRouter) generates a savage, personalized roast for your entire schedule and each individual course — referencing actual GPA averages, fail rates, and professor quirks.

The result is a cinematic tier reveal (S through F) with screen shake, fire particles, and a typing-terminal loading sequence designed to feel like a movie. Every course gets a breakdown card with its cook factor, GPA stats, RMP data, and an AI roast. You get a "What this schedule says about your personality" verdict, a survival tip, and a shareable score card to post.

The scoring is real: a 2.4 average GPA course costs you points. Double labs add a tax. 18+ credits multiply your score. Bad professors add a penalty. It's not just vibes — it's data-driven suffering quantified into a single number.

https://github.com/RithikGobinath/AmICooked-

Built With

  • claude
  • css
  • cursor
  • framermotion
  • glm5.1
  • html2canvas
  • lucidereact
  • madgrades
  • nextjs
  • ratemyprofessor
  • tailwind
  • vercel
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