StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data

StocksTalk is a voice‑enabled conversational agent that turns spoken financial screening requests into validated structured queries over real‑world market data. It integrates streaming speech recognition, retrieval‑augmented constraint extraction, schema‑grounded LLM‑based SQL generation, rule‑based validation, and human‑in‑the‑loop verification, exposing intermediate reasoning artifacts for user inspection. A benchmark of 150 spoken prompts shows that its retrieval grounding, constrained query generation, and interactive verification improve constraint extraction accuracy, SQL executability, logical consistency, and multi‑turn stability over baseline LLM approaches.

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• llms
• rag
• agents
• multimodal
• benchmarks
• data-engineering