Building an AI-Powered Driving Theory Exam Platform with the FSRS Algorithm

Short summary

Author built KETis, an AI exam-prep platform for Lithuanian driving tests, using FSRS (Free Spaced Repetition Scheduler) instead of SM-2 for adaptive question scheduling. FSRS models memory as difficulty, stability, and retrievability, personalizing review timing to each user. The platform achieved 82% first-attempt pass rates with median study time of 11 days across 2,500+ questions.

• •FSRS algorithm personalizes review scheduling by modeling per-user difficulty and memory stability
• •Achieved 82% first-attempt pass rate vs 60% national average on official KET exam
• •Practical implementation patterns: cold-start seeding, event-based storage, interval capping to prevent user churn

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