Personalized Learning Through Generative AI Tutoring
Traditional tutoring couldn't scale. Students received generic feedback regardless of their learning style, leading to plateau effects and disengagement in 67% of cases after the initial learning phase.
We developed a multi-modal AI tutor that adapts to individual learning patterns, using retrieval-augmented generation (RAG) for curriculum-aligned responses and pedagogical guardrails to ensure educational effectiveness.
A conversational AI platform that provides Socratic dialogue, adaptive problem generation, and real-time comprehension assessment across mathematics, science, and language subjects.