Overview
A backend-focused AI content generation pipeline that converts learning topics into structured scripts and video-planning artifacts using LLM/NLP workflows.
What I built
I built an AI workflow that turns learning topics into structured scripts and video-planning artifacts, with backend orchestration around prompt handling, output structure, and repeatable execution.
Technical focus
The main focus was orchestration around LLM/NLP workflows: structuring inputs, controlling output shape, reducing manual steps, and making model output useful inside an actual content pipeline.
Why it matters
This project shows backend-focused AI workflow design: using LLMs as part of a repeatable system rather than treating them as isolated prompts.