Adaptive Semantic Profiling for Personalized Education
Patent Pending
Apache 2.0 License

Revolutionizing Adaptive Learning

Lurox AI is an open-source adaptive learning system that uses dynamic word embeddings and semantic profiling to personalize educational content. By adjusting text complexity to match learner comprehension levels in real-time, it creates truly personalized learning experiences that adapt to each student's unique semantic understanding.

Student Semantic Profile Builder

Creates multi-dimensional learner embeddings that capture individual comprehension patterns and knowledge structures.

Dynamic Vocabulary Adjuster

Real-time semantic substitution using BERT to match content complexity with learner proficiency levels.

Concept Dependency Mapper

RL-based learning path generation that intelligently sequences educational content for optimal comprehension.

Real-Time Adaptation Engine

Continuous profile updates that evolve with learner progress, ensuring content remains optimally challenging.

World Models Integration

Predictive neural networks that anticipate learner needs and proactively adjust content delivery strategies.

Scalable Architecture

Built on PyTorch, Neo4j, and Apache Kafka for enterprise-grade performance and reliability.

Open Source & Ready to Deploy

View on GitHub

ML: PyTorch, BERT, GloVe/Word2Vec, LSTM

DB: Neo4j, MongoDB

Infra: Apache Kafka, Python microservices