Project Overview

A two-stage development of an AI-driven mental wellness intervention, beginning with a WhatsApp chatbot proof-of-concept that will inform the development of a comprehensive business solution.

Stage 1: Chatbot Proof of Concept

Core Objectives

1. Develop and validate a WhatsApp-based AI chatbot that can:

• Track and analyze daily user moods
• Provide personalized kindness suggestions
• Maintain user engagement through automated check-ins
• Generate training data for Stage 2 ML models

2.Conduct 8-week validation experiment:

• Recruit 200-300 participants
• Implement pre/post well-being assessments
• Track daily mood patterns
• Measure completion of suggested kindness acts
• Analyze effectiveness of different kindness suggestions

Stage 2: Business MVP Development

Core Objectives

Using insights and data from Stage 1 to develop:

1. Enhanced ML-driven system with:

• Sophisticated need satisfaction analysis
• Advanced personalization engine
• Business-specific recommendation algorithms

2.Business-specific features:

• Employee version functionality
• Manager dashboard and analytics
• Team well-being tracking
• Integration capabilities

Required Deliverables for Stage 1

1. Technical Components:

• Functional WhatsApp chatbot integration
• Basic mood recognition system
• Initial kindness acts database
• User interaction tracking
• Data collection pipeline

2.Research Components:

• Experiment design documentation
• PERMA model assessments implementation
• Data analysis methodology
• Impact report with ML insights for Stage 2

Required Deliverables for Stage 2

1. Technical Components:

• Enhanced ML models trained on Stage 1 data
• Business analytics dashboard
• Integration with HR systems
• Advanced recommendation engine

2.Business Components:

• Freemium model implementation
• Employee engagement features
• Manager insights dashboard
• Custom survey capabilities