Implements a grid-search method to find BKT parameters using a shared c library in Python. The shared c library implements the grid search to speed up the nested for loops. Functions to estimate BKT parameters, predictions, collapsed & non-collapsed rmse, auc_roc, accuracy and implement student-stratified k-fold cross-validation.
ExemplAI is an example-based learning intelligent tutor for programming
Adaptive Platform for Learning Java powered by a hybrid BKT-RL model, featuring personalized challenges, performance tracking, and mastery-based progression.
🧠 AI-powered cognitive learning OS with knowledge graph diagnosis, Bayesian mastery tracking, spaced repetition study planner, and rubric-aware grading — built for Indian competitive exams (NEET, JEE, CUET)
Modeling Knowledge Progression in MOOCs. An extended BKT model that integrates lecture engagement and time-gap data to improve knowledge state estimation in online learning environments.
A real-time edtech agent with screen OCR, pluggable LLMs , Bayesian Knowledge Tracing (BKT) for adaptive quizzes, spaced repetition, concept graphs, and collaborative classrooms. Built with FastAPI, React, and Supabase.
AI-powered adaptive tutor using PPO reinforcement learning + DKVMN knowledge tracing to personalize learning paths in real time. Dynamically selects concepts per student's knowledge state. Built with React, Django, PyTorch & trained on 131M+ interactions.
Adaptiver Stochastik-Klausur-Coach, der Bayes-Inferenz nutzt, um deine Schwächen zu finden.
Intelligent Weakness Reasoning Model — Multi-Signal Bayesian Engine + Interactive Next.js Dashboard with D3 Knowledge Graph, Severity Matrix, and Study Simulator
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