Stabilise AI Tracking Platform
An AI-assisted journaling and mood tracking ecosystem designed to raise self-awareness and encourage self-exploration through quantitative sentiment analysis.
Domain
AI Wellness Application
Timeline
On Going
The Vision
STABILISE AI is an iOS mobile application and web platform created by a researcher with lived experience with bipolar disorder, in collaboration with computer scientists. The core mission is to raise self-awareness, encourage self-exploration, and improve access to practical coping strategies. It functions as a secure, intelligent journaling space that helps users track their personal mood metrics over time.
AI-Powered Sentiment Architecture
Instead of relying on standard manual mood-picking, the platform utilizes advanced AI to derive insights directly from the user’s natural journal entries:
- The Data Flow: Journal entries are securely transmitted to the backend, where Python (Flask) microservices interface with Large Language Models.
- Quantitative Scoring: The AI analyzes the text and returns specific numerical scores for metrics like stress, anxiety, and depression.
- Secure State Management: Firebase acts as the secure, synchronized data layer, storing the user’s journals and the AI-generated scores while ensuring cross-device consistency.
Intuitive Data Visualization
To make complex emotional data easily digestible, the frontend avoids overwhelming charts in favor of highly intuitive, color-coded UI patterns:
- Gradient Calendar: We engineered a custom calendar view where each day is painted with a specific color gradient derived from the AI’s scoring.
- Visual Feedback Loop: The spectrum ranges seamlessly from green (indicating optimal baseline scores) to dark red (indicating elevated stress or anxiety), allowing users to visually identify behavioral trends at a single glance.
Unified Cross-Platform Ecosystem
To provide a seamless experience whether the user is on their phone or computer, the architecture relies on a highly decoupled API strategy:
- The Backend Engine: A robust combination of Golang (for fast, high-concurrency data fetching) and Python (for AI model processing) serves identical API endpoints to all clients.
- Mobile & Web Clients: The iOS application is built natively in Flutter, while the web platform utilizes a hyper-lightweight stack of Pure JS, HTML5, CSS3, and Tailwind CSS—ensuring instantaneous load times and a zero-bloat browser experience.
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