Score Impact Analyzer is a data-driven tool that simulates Digital SAT adaptive scoring to identify which missed questions have the highest impact on a student’s final score, helping optimize study focus for maximum improvement.

An adaptive testing backend built with FastAPI and MongoDB that dynamically adjusts question difficulty based on student performance and generates personalized study recommendations.

IRT-based adaptive testing engine with real-time question selection

1D Adaptive Testing Engine using Item Response Theory (IRT) | FastAPI · MongoDB Atlas · GPT-4o-mini | Dynamically adjusts GRE question difficulty based on real-time ability estimation

Adaptive GRE prep tool using 1PL IRT with Fisher Information item selection for real-time ability estimation. LLM generates personalized study plans with curated resources. Built with FastAPI, MongoDB Atlas, Clerk Auth, and OpenRouter. 74 tests, Docker support, structured logging.

1D adaptive diagnostic engine, uses item response theory (Rasch Model) to dynamically select GRE - style questions based on student ability then generates a pesonalized AI study plan.