Replit | Expo | React Native | Earkick AI Mental Health Platform

Earkick is an AI-powered mental health platform that helps people track their emotions, manage stress, and practice self-care through private, judgment-free conversations with an AI companion. I contributed to the web and iOS development of the platform, using No-code/Low-code AI assistant tools like Replit and Cursor AI, with seamless integration of AI-driven features.

Web: Replit (React, JavaScript/TypeScript, Node.js)

Mobile (iOS): React Native, Expo, Xcode

AI Integration: OpenAI, Claude AI, LLMs

Data & Tracking: Apple HealthKit, Secure local storage (iCloud)

Version Control & Collaboration: GitHub, Replit shared workspaces

Database: Supabase, Firebase

Cloud services: AWS (lambda, S3, EC2, Bedrock, Cloudwatch, EventBridge, APIGateway)

1. Web Application (Replit)

Built a responsive web interface where users can log moods, track habits, and access AI-driven insights.

Focused on lightweight performance to make the app usable even on low-bandwidth connections.

Designed the UI with clean, minimal layouts that reduce distractions and make check-ins quick.

2. iOS Application (React Native)

Implemented daily mood check-ins with simple emoji sliders and journaling prompts.

Integrated guided breathing and meditation exercises with animations and timers.

Connected to Apple HealthKit, so users can see correlations between physical activity, sleep, heart rate, and mood.

Added push notifications for gentle reminders to check in, practice breathing, or reflect.

3. AI Chat Companion

Integrated an AI chatbot that provides supportive conversation, journaling prompts, and CBT-inspired exercises.

Built natural flows so users can switch between chat and exercises without friction.

Prioritized safety and tone: the chatbot is encouraging, non-judgmental, and always respects privacy.

4. Privacy-First Design

No account creation or ads — all usage is anonymous.

Data stored locally or securely in iCloud; nothing shared with third parties.

Clear, transparent communication in the UI about what happens with user data.