What question did this study set out to answer?

To develop an accessible AI mental health companion that utilizes no-code tools to support emotional wellness.

March 24, 2026Open Access

MindMate: Agentic AI as a Mental Health Companion: A No-Code Approach for Automated Emotional Wellness Using n8n, OpenAI GPT, and WhatsApp

Key Points

To develop an accessible AI mental health companion that utilizes no-code tools to support emotional wellness.
Built using OpenAI GPT-4o for emotional interpretation
Automated workflows implemented with n8n
Proactive outreach through WhatsApp via Twilio
Interactions logged in Google Sheets for reflection and tracking
Simulated validation with 50 interactions for accuracy assessment
Achieved 94% mood classification accuracy during testing
Demonstrated 98% reliability in workflow execution
Presented a zero-cost solution for emotional self-care
Effectively bridged the gap between mental health therapy and daily life

Abstract

Mental health support remains inaccessible to millions due to cost, stigma, and the structural gap between weekly therapy sessions and daily life. This paper presents MindMate — a conversational AI wellness companion built entirely on no-code tools — that proactively reaches users via WhatsApp, interprets their emotional state using OpenAI GPT-4o, suggests evidence-based wellness activities, and logs all interactions in Google Sheets for ongoing reflection. The system uses n8n for workflow automation, Twilio for WhatsApp delivery, and Gmail API as an email fallback. Validation across 50 simulated interactions showed 94% mood classification accuracy and 98% workflow reliability. MindMate demonstrates that a zero-cost, no-code AI agent can meaningfully bridge the gap between formal therapy and everyday emotional self-care.

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