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Case Study

Hello Driven : AI-Powered Mental Resilience Coach for Scalable Emotional Wellbeing


Mental Wellness / Coaching

Hello Driven (Australia) – AI Coach for Mental Resilience

Hello Driven collaborated with us to develop an AI coach that builds emotional resilience through conversational support. Designed for corporate wellness and individual users alike, the assistant guides users through structured programs using positive psychology, mood tracking, and micro-habit building. It adapts its tone and content using sentiment detection and behavioral feedback loops. Users receive tailored exercises and motivational nudges at the right time—just like a real coach would. The AI is always available, fully private, and designed to support mental strength in a scalable way. Hello Driven now empowers thousands to thrive emotionally, daily.

Project Overview

  • Client: Hello Driven (Australia-based wellness tech firm serving enterprises and consumers)
  • Challenge: Inaccessible mental coaching for large, distributed teams + lack of real-time emotional support
  • Goal: Develop an AI-powered coach to:
    • Guide users through evidence-based mental resilience journeys
    • Modifies content delivery based on user emotions and actions
    • Maintain user privacy while scaling to thousands of simultaneous users
  • Team: 6 (2 NLP Engineers, 2 Behavioral Psychologists, 1 Frontend Dev, 1 PM)
  • Timeline: 4.5 months (PoC → Psychological Validation → Live Deployment)

“With GenX’s AI Coach, we now offer scalable, private, and emotionally intelligent support that transforms lives daily.”

Founder & Chief Psychologist, Hello Driven

The Challenge

Critical Pain Points:
  • Traditional wellness models weren’t built for growth or individual needs.
  • Users needed real-time emotional support, not one-size-fits-all advice
  • Difficult to track and adapt user progress across changing emotional states
Technical Hurdles:
  • Teaching language models to be emotionally aware, unbiased, and context-sensitive
  • Balancing conversational depth with psychological efficacy
  • Ensuring HIPAA-level privacy and GDPR compliance for personal mental health data

Tech Stack

Component Technologies
NLP & AI Coaching Models GPT-4, BERT, Dialogflow CX, LangChain
Sentiment & Adaptation Engine HuggingFace Transformers, Custom Sentiment Classifier
Backend & Security Firebase, Node.js, Google Cloud Functions, Vault
Habit Tracker + Journaling MongoDB, Flutter SDK, GraphQL APIs
Privacy & Compliance GDPR, HIPAA protocols, SOC 2 cloud storage

Key Innovations

The AI guided users through structured micro-habit routines and positive psychology exercises. It adapted tone and timing using behavioral feedback and sentiment detection. Users gained emotional resilience through secure and steady support.

Emotion-Adaptive AI Dialogue

  • Responded empathetically with motivational feedback tailored to mood

Result: 47% increase in daily engagement with the coach

Micro-Habit Builder Engine

  • Nudged users into stress-reducing actions with psychological reinforcement

Result: 34% boost in weekly habit completion rates

Private, Scalable Wellness Delivery

  • Enabled mental coaching at scale with full data privacy

Result: 58% reduction in reported workplace stress (pilot group of 200+ users)

Our AI/ML Architecture

Core Models

  • Conversational Resilience Coach:
    • GPT-based framework fine-tuned on therapy dialogues and CBT patterns
    • Guides users with daily exercises, stress-relief routines, and reflection prompts
  • Sentiment & Behavioral Feedback Engine:
    • Real-time tone analysis using BERT + sentiment scoring
    • Adjusts language, depth, and topic areas based on user mood
  • Micro-Habit Progress Tracker:
    • Guides users through micro-habits with scheduled alerts
    • Generates nudges using reinforcement triggers and engagement curves

Data Pipeline

  • Sources
    • User conversations, mood check-ins, self-assessment scores
    • Micro-habit completion logs, reflection journals, engagement frequency
  • Processing: Built on Google Cloud Functions, Dialogflow CX, Firestore, and Secure Vault

Integration Layer

  • Offers web interface, mobile SDK, and chatbot embed
  • Slack & Teams integrations for enterprise wellness programs
  • Encrypted journaling system and user-specific content memory layer

Quantified Impact

Daily User Engagement Rate
Before AI

19%

After AI

66%

Weekly Micro-Habit Completion
Before AI

42%

After AI

76%

Reported Mood Improvement (2 weeks)
Before AI

1.8/5

After AI

3.7/5

Program Retention (4-week period)
Before AI

38%

After AI

71%

Stress Reduction (Employee Pilot Group)
Before AI

-

After AI

-58% reported

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