Inspiration

Most AI learning tools give answers or explanations. ReasonTrace focuses on why a student got something wrong.

What it does

ReTrace analyzes a student’s solution, finds the first incorrect reasoning step, identifies the likely misconception, and generates a quick diagnostic question to verify it. It then gives a short explanation and targeted practice.

How I built it

I built ReasonTrace with Next.js, TypeScript, Tailwind CSS, Gemini API, and Vercel. Gemini returns structured reasoning data that the app turns into a visual step-by-step trace.

Challenges

The main challenge was making the AI diagnose reasoning instead of immediately giving the correct answer. I also had to distinguish misconceptions from simple calculation or careless mistakes.

What I learned

We learned that AI feedback becomes more useful when it tests its diagnosis before teaching. A focused reasoning workflow can provide more precise support than a general AI chatbot.

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