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Built a Gradio-based generation system that plans the lesson, writes Manim code, renders video, synthesizes audio, and packages the result into a usable STEM explainer.

• Prompt to concept plan to narration to Manim code to render to voiceover to quiz flow is wired end to end.
• Includes audience and quality controls plus progress-aware status updates in the Gradio interface.
• Supports cloud rendering and text-to-speech integrations for a production-style content pipeline.

Designed a LangGraph-driven workflow with FastAPI, Discord delivery, scheduler support, scoring branches, and persistence so the system can run as an actual assistant instead of a toy chat loop.

• Readable graph nodes handle fetch, dedupe, scoring, categorization, summarization, publishing, and run persistence.
• Parallel editorial and opportunity scoring branches merge before digest generation.
• Supports scheduled jobs, manual API triggers, Discord posting, and deployment paths for always-on or Blaxel job execution.