A.R.G.U.S-V
Video intelligence framework for YouTube
End-to-end framework for intelligent analysis of YouTube content using LLMs and multimodal learning — ingestion, transcription, summarization, and semantic search that cuts manual review time.
- LangGraph-orchestrated agent workflows for the analysis pipeline
- Redis caching for high-performance reuse of processed data
- Semantic search over transcribed and summarized video content
- Python
- LLMs
- LangGraph
- Redis
Code available on request