Neuro Decision Copilot
Team consisting of a Quant Data Scientist (R, Multi-LLM) and a Chief AI Officer (LangGraph, RAG, Azure/AWS) building production systems.
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Project Description
Working Prototype
Our agent runs end-to-end: real-time voice interaction, cognitive state detection, reasoning pipeline, and decision recommendations.
Technical Complexity & Integration
We combine multimodal voice processing, sequential LLM reasoning, JSON-based pipelines, and dynamic agent orchestration. The system integrates cognitive scanning, heuristic engines, and ElevenLabs voice for natural conversational interaction.
Innovation & Creativity
The project introduces a new paradigm: a neuro-inspired decision-making agent that reads cognitive states, applies heuristics, and simulates decision paths. This approach is original in both concept and execution.
Real-World Impact
The agent solves a universal problem—human decision paralysis—delivering actionable guidance for users in health, finance, career, and daily choices. It is immediately deployable and highly scalable.
Theme Alignment
It embodies the core theme of conversational agents by creating an autonomous, voice-driven system that listens, reasons, and responds like a real decision coach, enhanced by ElevenLabs technology.