Case Study · AI Solutions
Wellbeing Pathways
A mental health companion app using AI/ML to recommend personalised care pathways.
100K+
Downloads on Google Play
AI/ML
Personalised pathway recommendations
Encrypted
Anonymous mental health chat
Challenge
Mental health apps are common; personalised ones are rare. The product needed to take a user's own words about how they're feeling and turn that into a genuinely relevant, structured plan - not a generic list of articles.
How we partnered
We built the cross-platform app in Flutter with Firebase, including an encrypted, anonymous chat experience and an AI/ML engine that analyses a user's stated emotion, relationship and cause to generate a personalised multi-day pathway - assessments, journaling prompts and mindfulness activities scheduled day by day.
Inside the product
Technology used
How AI drives the core product
This one is AI end-to-end: natural-language intent classification maps what a user says onto the right care pathway, and a recommendation engine personalises each day's activities based on progress and mood.
100,000+ people have downloaded the app on Google Play.
What started as an idea for a more personal mental health tool became one of the most-downloaded apps in its category, with AI doing the work of a first-touch counsellor.
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