Sensitive Data Handling: Ensuring users feel confident in the app’s ability to securely manage and display their private health data.

User Engagement: Encouraging consistent use among diabetic users who may feel overwhelmed by the daily demands of glucose monitoring and meal tracking.

Conducted empathy-driven research with diabetic users to identify their daily challenges and needs.

Designed a compassionate, accessible interface with clear data visualizations and motivational cues.

Secure Data Management: Implemented end-to-end encryption and HIPAA-compliant protocols to safeguard users’ glucose and meal data, with transparent privacy settings to build trust.

Real-Time Glucometer Sync: Developed a reliable Bluetooth syncing system to instantly pull glucose readings from compatible glucometers, with in-app alerts for abnormal readings.

AI-Driven Insights: Built an AI system that analyzes glucose trends and meal logs to offer personalized recommendations, such as meal adjustments or exercise tips, presented in a supportive tone.

Motivational Features: Incorporated progress trackers and achievement badges to celebrate milestones, like consistent logging or stable glucose levels, to boost user engagement.

Accessible Design: Adhered to WCAG 2.1 guidelines, ensuring high contrast, scalable text, and screen reader compatibility to accommodate users with visual or motor impairments.

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