Wave Checkup Mobile App Interface Development

Denis Turbin

Wave Checkup Mobile App

About the Project

Development of an interface for an AI system that analyzes a person's energetic state through photography. The project combines ancient chakra knowledge with modern artificial intelligence technologies, creating a unique user experience in the digital wellness sphere.

Design Process & Methodology

For this project, I implemented a new AI-assisted design methodology that revolutionized my workflow efficiency. Instead of traditional wireframing and mockup creation, I leveraged Stitch AI to rapidly generate multiple design scenarios and interface variations based on detailed prompts.
The process began with feeding comprehensive requirements into Stitch AI, including the complete data structure from the wave analysis, visual style preferences, and functional specifications. The AI generated numerous design concepts within minutes, allowing me to explore vastly more creative directions than traditional methods would permit.
After initial generation, I conducted thorough reviews of each concept, analyzing user flow logic, information hierarchy, and visual coherence. This critical evaluation phase ensured that AI-generated designs met both user needs and business objectives. I then iteratively refined the prompts, incorporating learnings from each review cycle to generate increasingly sophisticated variations.
The final step involved comprehensive UX updates based on the refined concepts. This hybrid approach combined the speed and creative breadth of AI generation with human expertise in user experience design, resulting in a more thoughtful and polished final product.

Challenge

Create an intuitive results screen that transforms complex energetic diagnostics into visually appealing and practically useful information. The system needs to analyze the state of seven chakras, provide personalized recommendations, and support different access levels for monetization.

Target Audience

The primary audience consists of people aged 25-50 who are interested in self-development and holistic practices. These are predominantly women, active users of wellness applications, who value both scientific approaches and spiritual practices in their personal growth journey.

Design Solution

A neon-dark style was chosen to create the feeling of an advanced diagnostic system from the future. The dark background with bright neon accents makes the interface technological yet mystical. Color coding of chakras helps users intuitively understand the energetic state of each center.

Structure and Functionality

The interface is logically structured from general to specific: from chakra energy indicators to concrete practical recommendations. Each chakra is presented with an energy percentage, description of distortions, and energetic "connections." Users receive personalized affirmations, sound frequency recommendations, and breathing techniques.

Interactivity and Personalization

The system includes the ability to comment on results, allowing users to create a personal self-development journal. Licensed users can export results to PDF, while the main CTA button offers generation of personalized audio tracks for meditative practices.

Results and Impact

This AI-assisted methodology reduced design iteration time by 70% while exploring 3x more creative concepts than traditional approaches. The freemium solution creates a unique niche at the intersection of technology and spirituality, building a loyal audience and encouraging regular service usage for tracking energetic progress.
Like this project

Posted Sep 20, 2025

Developed an AI interface for analyzing energetic states via photography in the digital wellness sphere.

Futuristic Website Design for Sabsus CRM
Futuristic Website Design for Sabsus CRM
Website Design for AirTexno Appliance Repair Service
Website Design for AirTexno Appliance Repair Service
Prime Clicks Website Development
Prime Clicks Website Development

Join 50k+ companies and 1M+ independents

Contra Logo

© 2025 Contra.Work Inc