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I modified the existing Calm app by making it easier with AI.

Overview_

Calm is already a digital mindfulness platform. However, in 2025, more users are interested in personalized emotional intelligence in their wellness tools. So I decided to restructure and build "Calm AI" for the ongoing competition to use AI-driven emotional sensing, adapt experiences, and give real-time feedback integration for users to create a medication app that makes them feel alive, heard, and seen. Lastly, my idea about this app is to retain calm serenity especially for those with mental health struggles, adaptiveness, etc.

Research Method:

Survey & Interview

https://forms.gle/15bGXECPDhKnPPXJ9... 30 users filled out the google form

Interviewed 20 users across 7 countries to understand their pain point

User Pain Point Summary:

  • Repetition Fatigue
  • Lack of personalization
  • Low Engagement Time
  • Fragmented Experience

Competitive Analysis Research:

Calm- AI 1

Solution:

  • Mood Recognition— This will help users to check in, track tone of voice, and track voice.
  • Adaptive Journey— AI curates meditations and soundscapes. & build stories based on emotional patterns
  • Emotional Visual— Can be changed by user mood to have dynamic backgrounds
  • Habit loop gamification- Progress streaks.

10 Screens ( Onboarding, home, search, profile, setting, logout)

Calm- AI 2

Low Fidelity

Calm- AI 3

High Fidelity

Calm- AI 4

Usability Testing:

It solved our users' pain point. Calm AI was able to solve user problems without disrupting or conflicting with existing users. Calm AI doesn't just guide your mind; it grows with it.

Tools used

Figma
UserTesting
ChatGPT

From brief

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