by TrippyEngineer · AI 工具 · ★ 5
AI Presentation Orchestrator Separate the compute from the performance. Pre-generate everything. Cache it. Walk in and press Enter. What This Project Demonstrates Two-phase system design — generation and runtime are fully decoupled. All LLM calls, TTS synthesis, and video rendering happen before the presentation. The runtime reads a manifest and executes deterministically. Cache-first pipeline — every output is stored with a manifest. Partial runs resume from where they stopped. Nothing is regenerated unless explicitly forced.
| Stars | 5 |
| Forks | 1 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 39.9/100 |
| Last Updated | 2026-04-05 |
| Created | 2026-03-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~10k |
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ai-presentation-orchestrator is Fully automated AI presentation system — pre-generates narration, fires live n8n demo workflows, and answers audience questions via voice Q&A. Zero manual input during the talk.. It is categorized as a AI 工具 with 5 GitHub stars.
ai-presentation-orchestrator is primarily written in Python. It covers topics such as ai-agent, anthropic, automation.
You can find installation instructions and usage details in the ai-presentation-orchestrator GitHub repository at github.com/TrippyEngineer/ai-presentation-orchestrator. The project has 5 stars and 1 forks, indicating an active community.
ai-presentation-orchestrator is released under the MIT license, making it free to use and modify according to the license terms.