A Flask-based teaching support system for programming courses, featuring learning-log analysis, learner modeling, and AST-based code structure analysis.

A simulation platform that stress-tests learning content against synthetic learner populations before launch. Accepts curriculum content, assessments, and learner-profile settings, then returns risk diagnostics, confusion points, concept bottlenecks, drop-off forecasts, and revision recommendations - so curriculum teams catch problems in simulation

Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency