Mood & Anxiety Tracker Mobile Application
Cross-platform mobile application engineered to help users privately track mood and anxiety symptoms using clinically recognized PHQ-9 and GAD-7 scoring systems, combining behavioral analytics, longitudinal data visualization, subscription architecture, and secure private health tracking workflows.
Project Overview
The Mood and Anxiety Tracker application was designed as a privacy-focused mobile health platform allowing users to monitor emotional wellbeing through structured daily mental health assessments using PHQ-9 depression screening and GAD-7 anxiety scoring frameworks commonly used in clinical and therapeutic environments.
The application combines intuitive daily check-in workflows with advanced historical tracking, behavioral trend visualization, personalized insight generation, milestone tracking, and long-term reporting systems that help users identify emotional patterns and better understand changes in mental wellbeing over extended periods of time.
Built as a mobile-first application architecture, the platform required careful engineering across frontend user experience design, local data persistence, premium subscription management, mobile deployment workflows, chart rendering systems, and secure user privacy considerations while maintaining simplicity for daily user engagement.
Engineering Challenges Solved
Key technical challenges addressed during development requiring architectural planning, system compatibility design, backend engineering decisions, and long-term maintainable implementation strategies.
Designing Mobile-First User Experience for Daily Habit Engagement
Building Interactive Chart Rendering for Historical Trend Analysis
Managing Local Data Storage and Offline-First Architecture
Creating Premium Subscription Architecture with Google Play Billing
Developing Insight Generation Systems Based on Behavioral Patterns
Maintaining Private User Data Without Centralized Health Data Storage
Cross-Platform Mobile Deployment Using Capacitor Architecture
Technology Stack
Core technologies and engineering systems used to architect, build, and deliver this project.
JavaScript Application Architecture
Capacitor Mobile Framework
HTML5 Mobile Interface Development
CSS3 Mobile UI System
Chart.js Data Visualization
Google Play Billing Integration
Firebase Authentication and Notifications
Local Device Storage Architecture
Mobile Application Deployment Pipeline
Architecture & Engineering Decisions
Key architectural decisions designed to ensure scalability, maintainability, long-term compatibility, and stable software engineering practices throughout development.
The application architecture was built as a modular mobile-first JavaScript application using Capacitor to enable cross-platform deployment while preserving native mobile capabilities. The frontend system separates questionnaire workflows, graph rendering systems, premium subscription controls, insight generation logic, and navigation layers into isolated feature modules for long-term maintainability.
Clinical PHQ-9 and GAD-7 assessment scoring systems were implemented through structured questionnaire engines capable of tracking daily assessments, storing longitudinal user history, generating behavioral trend analytics, and visualizing score progression through interactive chart rendering systems optimized for mobile performance.
The overall system architecture balances privacy-first local data storage, premium subscription monetization workflows, Firebase authentication services, push notification support, behavioral analytics generation, and scalable application infrastructure while ensuring users retain complete control over sensitive mental health information.
Project Outcomes
Key deliverables and engineering outcomes successfully achieved through system architecture, technical implementation, and long-term maintainable development practices.
Delivered a fully functional cross-platform mobile application supporting private mental health tracking workflows.
Successfully implemented clinically recognized PHQ-9 and GAD-7 assessment scoring systems for daily emotional wellness tracking.
Created advanced long-term behavioral analytics and interactive historical trend visualization dashboards.
Integrated subscription-based premium architecture using Google Play Billing for monetization workflows.
Demonstrated expertise in mobile application architecture, data visualization systems, subscription integration, and privacy-focused application engineering.
Project Resources
Explore public project resources, live releases, repositories, and supporting materials related to this software engineering project.
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