Overview

AI-powered platform transforming lecture videos into interactive learning experiences with real-time adaptive questioning.

Details

This project established a responsive digital learning framework that dynamically adjusts to a learner’s evolving understanding using multimodal content analysis. For collaborations, Please reach out to meghac.tiya@gmail.com

Outcomes

• Implementation of an adaptive question engine leveraging a Hybrid Reinforcement Learning (RL) algorithm.
• Automated pipeline for extracting timestamped, difficulty-rated questions from video transcripts and slide decks.
• Generation of personalized post-lesson summaries using semantic search and large language models.