LessonForge is an AI studio that turns a topic and a set of learning objectives into a fully rendered, studio-quality video lesson — narrated, on-brand, and personalised per student. The problem: producing educational video is slow and expensive. A single lesson can take a faculty member days of scripting, filming, and editing, and it can't easily be adapted for different students, languages, or reading levels. Great teaching gets locked to one recording. Our approach flips that. Faculty define a lesson once — topic, objectives, and a chosen on-screen educator. LessonForge's agentic Lesson Application Framework then does the heavy lifting: a Curriculum Architect structures the lesson, a Scene Consistency Director locks visual continuity across every shot, and a Prompt Engineer produces clean, filmable scene descriptions. Each shot is rendered as a still for human review, approved, then generated as final video with synced narration. The stack is built end-to-end on the hackathon's ecosystem. Gemma 4, served through Fireworks AI, powers the agentic reasoning. AMD Instinct MI300X GPUs run the video generation pipeline, with LTX video models producing the final clips. A human-in-the-loop review gate keeps every frame accurate before it ships. The result: faculty record once, and AMD-powered agents personalise it for every student — different presenters, pacing, and scripts from a single source lesson. What took weeks now takes minutes.
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