Dynamic Learning Solutions: A System for Personalized Educational Video Generation
| Source: arXiv AI
Tags: educational AI, RAG, Stable Diffusion, video generation, multimodal
Researchers built a pipeline that converts PDF textbooks into animated video explanations by chaining RAG retrieval, Stable Diffusion image generation, DynamiCrafter animation, and Google TTS — demonstrated on NCERT educational materials.
Details
The system accepts a PDF textbook and a user question, then produces a video-based explanation through a four-stage pipeline. First, a RAG model optimized for NCERT textbook structure retrieves relevant content and generates a multi-scene script with narrative text and visual prompts. Second, Stable Diffusion generates contextually relevant images from those prompts, implemented layer-by-layer for interpretability. Third, DynamiCrafter converts those images into animated sequences. Finally, Google TTS produces synchronized narration aligned with the visual timeline. The pipeline integrates multi-modal document retrieval, generative visual models, animation frameworks, and speech synthesis. The authors note the RAG stage performs best on NCERT content and may need adaptation for other educational materials. While the result is a working proof-of-concept for automated educational content generation, the source is a research paper with limited quantitative evaluation. The approach is architecturally interesting as a modular pipeline, but real deployment would require significant reliability work on each component.