Uploaded February 2026 | Updated September 2026, 2 weeks ago
This project establishes an automated Video Compliance QA Pipeline orchestrated by LangGraph, designed to audit content against regulatory standards using a RAG architecture. We leverage Azure Video Indexer for multimodal ingestion (transcripts/OCR) and Azure AI Search to retrieve relevant compliance rules via Azure OpenAI Embeddings. The core reasoning engine, Azure OpenAI (GPT-4o), synthesizes this data to deterministically detect violations, while LangSmith provides granular tracing for LLM workflow optimization. Additionally, Azure Application Insights is integrated for production-grade telemetry, logging, and real-time performance monitoring. This end-to-end system transforms unstructured video into structured, actionable JSON compliance reports with deep full-stack observability.
Code: drive.google.com/drive/folders/12YEfALjwaIrigSbPfNo6qeQKG1alHo56
Mentor: Chirantan : linkedin.com/in/chirantanlonkar
Join our Industry Ready Projects: krishnaik.in/projects
This project establishes an automated Video Compliance QA Pipeline orchestrated by LangGraph, designed to audit content against regulatory standards using a RAG architecture. We leverage Azure Video Indexer for multimodal ingestion (transcripts/OCR) and Azure AI Search to retrieve relevant compliance rules via Azure OpenAI Embeddings. The core reasoning engine, Azure OpenAI (GPT-4o), synthesizes this data to deterministically detect violations, while LangSmith provides granular tracing for LLM workflow optimization. Additionally, Azure Application Insights is integrated for production-grade telemetry, logging, and real-time performance monitoring. This end-to-end system transforms unstructured video into structured, actionable JSON compliance reports with deep full-stack observability.
Code: drive.google.com/drive/folders/12YEfALjwaIrigSbPfNo6qeQKG1alHo56
Mentor: Chirantan : linkedin.com/in/chirantanlonkar
Join our Industry Ready Projects: krishnaik.in/projects
