Streamlit-based synthetic data generation platform leveraging Amazon Bedrock LLM to create realistic test datasets from schema metadata and feed templates. The Streamlit Web UI connects to a Python backend service that orchestrates Amazon Bedrock API calls, feeding the LLM with knowledge from SAM documentation and feed structure definitions. The Synthetic Data Generator produces test data outputs validated against schema metadata, enabling rapid prototyping of data-driven applications without exposing production data. Fork this diagram on Diagrams.so to customize the backend logic, swap LLM models, or integrate additional data sources and validation layers.