AI Scientific Video Generator
Generative AI Media Pipeline for Scientific Content
Year
2024
Category
AI
Duration
3 months
Overview
An open-source AI pipeline that transforms scientific topics into narrated, animated educational videos. The system uses LLMs for curriculum design and script generation, Manim for mathematical animations, diffusion models for visual content, and TTS for narration — orchestrated through a scalable FastAPI backend with async job queues and GPU workers.
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Challenge
Creating high-quality educational science videos requires domain expertise, animation skills, voice artists and weeks of post-production. AI can compress this to minutes.
Solution
A modular Python pipeline: LLM → script → Manim animation generation → diffusion visuals → TTS narration → FFmpeg assembly → S3 storage — with a FastAPI gateway and job-queue architecture for parallel generation.
Outcome
End-to-end video generation from topic input in under 10 minutes. Open-sourced on GitHub with production-ready architecture documentation.
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