ReTrace
An AI reasoning debugger that finds the first wrong turn in a student's solution, identifies the likely misconception, and turns it into targeted learning material.
Operating context
The prototype connects solution diagnosis with assessments, flashcards, practice, and saved learning material so the feedback can become a next action rather than a final verdict.
Problem
Most AI learning tools reach for an answer before locating the misconception that caused a student to make a mistake.
Approach
The product reviews a typed or photographed solution, identifies the earliest invalid step, tests the likely misconception, then creates a focused learning activity.
Key product decisions
- Made the first invalid step the primary unit of feedback.
- Kept diagnosis editable so a learner can correct an input before continuing.
- Connected explanations to practice and saved material instead of treating them as one-off chat output.
Technical architecture
A Next.js interface translates structured Gemini responses into editable reasoning traces and local learning material.
Current result
A hackathon-ready local prototype with diagnosis, assessments, flashcards, practice, and saved material.