Kwell
Record a quick voice note, let our AI spot mood shifts and anomalies, then relax with personalised binaural beats for better mental wellness.
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Case Study
Kwell
Building an AI-Powered Mental Wellness Platform
Role: Lead Full Stack Engineer | Mobile & Backend Systems Duration: 8 Months Tech Stack: React Native, NestJS, PostgreSQL, Python, Google Analytics
Overview
Kwell is a mental wellness platform designed to help users better understand their emotional well-being through voice-based journaling and AI-assisted insights. The product aimed to create a safe and accessible space where users could regularly capture their thoughts, track emotional patterns, and receive personalised wellness recommendations.
The platform combined mobile technology, backend services, analytics, and AI-powered mood analysis to create a more engaging and data-driven wellness experience.
The Problem
Many people struggle to consistently track their emotional health through traditional journaling methods. Writing daily entries can feel time-consuming, and identifying emotional trends over time is often difficult.
The goal was to make self-reflection more natural by allowing users to record voice notes while leveraging AI to identify emotional patterns and generate meaningful insights.
Key Features
Voice-Based Journaling
Users could record audio journals directly from the mobile application, making emotional tracking more natural and convenient than traditional text-based journaling.
AI-Powered Mood Analysis
Integrated AI services to analyze voice journal content and identify emotional signals, helping users better understand changes in their mental state over time.
Personalised Wellness Recommendations
Based on user activity and emotional insights, the platform provided personalised recommendations, including wellness content and binaural beat experiences designed to support focus, relaxation, and emotional balance.
Analytics & User Behavior Tracking
Implemented event tracking and analytics to understand user engagement, feature adoption, and behavioral patterns, enabling data-driven product improvements.
Technical Challenges
Processing Voice-Based Inputs
Handling audio recordings efficiently while maintaining a smooth mobile experience required careful coordination between the frontend application and backend services.
AI Integration
Designing workflows that transformed unstructured voice data into meaningful emotional insights involved integrating external AI capabilities with application-specific business logic.
Mobile Performance & User Experience
Ensuring a responsive and intuitive mobile experience while working with media uploads, background processing, and analytics tracking required continuous optimization.
Key Learnings
Through Kwell, I gained hands-on experience in:
- React Native mobile development.
- Backend architecture using NestJS.
- AI-powered product features.
- Audio processing workflows.
- User engagement analytics.
- Mental wellness product design.
- Cross-functional product delivery.
Outcome
Kwell demonstrated how AI, mobile technology, and behavioural insights can be combined to create meaningful wellness experiences. The project strengthened my expertise in building full-stack applications that bridge user experience, backend systems, analytics, and intelligent automation.
My Role
As a Full Stack Engineer, I was responsible for: * React Native mobile application development. * Backend API design and implementation using NestJS. * Database design and management using PostgreSQL. * AI integration for mood and sentiment analysis workflows. * User experience implementation across mobile screens. * Analytics and event tracking implementation. * Performance optimization and feature delivery.
