Sensor Cue Detector Agent

This agent identifies well-being cues from sensory face and audio data. It analyzes face data for expressions, gaze, and micro-movements, and processes audio for vocal tone, speech patterns, and ambient sounds that could signal shifts in well-being. It continuously processes real-time sensory input streams and flags specific cues based on pre-trained models, without explicit prompts or human oversight.

The agent acts as an early warning system, detecting subtle physiological and behavioral shifts that digital activities alone might miss, which leads to earlier intervention before issues escalate. It reduces reactive responses to employee well-being issues by identifying problems earlier through non-verbal cues, and helps mitigate potential burnout. Its primary users are employees and HR or leadership teams. It is built with Google Cloud Pub/Sub, Cloud Functions or Cloud Run, and Firestore.