Project details
- Product Manager
- AI & Generative AI
- jan 10, 2026
ECQO – Conversational AI Podcast Host
Voice-First AI System for Early Mental Health Screening
ECQO is a conversational AI platform designed to deliver early-stage mental health screening through voice-based interactions. Instead of form-driven assessments, the system enables natural, podcast-style conversations that capture emotional nuance in a psychologically safe format.The objective was to create an AI-native experience that lowers stigma, increases accessibility, and supports mental wellness — without crossing into clinical diagnosis or replacing professional care.
Problem & Opportunity
- Traditional mental health screening tools feel clinical and intimidating
- Text-based assessments fail to capture tone, hesitation, and emotional nuance
- Users frequently disengage before completing structured surveys
- This created an opportunity to design a voice-first screening experience that builds trust while preserving ethical boundaries.
Solution & Execution
- Built a conversational AI voice avatar powered by large language models (LLMs)
- Integrated speech-based emotion detection to enhance contextual awareness
- Implemented natural voice synthesis to ensure calm, human-like dialogue
- Designed short, structured podcast-style sessions to reduce cognitive fatigue
- Aligned system behavior with ethical guardrails and responsible AI principles
Impact & Outcome
- Lowered entry barrier for early mental health screening
- Increased user openness through natural voice interaction
- Improved session completion rates compared to traditional form-based tools
- Established scalable AI architecture for responsible early-stage assessment
What This Demonstrates
- Voice-first conversational AI system design
- Emotion-aware AI architecture in sensitive domains
- Ethical AI deployment within healthcare-adjacent environments
- Human-centered conversational UX at scale
- LLM-powered interaction frameworks with clinical boundary safeguards