PRODUCT DESIGN

UI/UX

VIBE CODING

AURAMANCER

AURAMANCER

AURAMANCER

An interactive aura photo booth that generates real-time procedural visualizations by analyzing emotional energy through AI-powered camera input.

ROLE

Designer & Developer

YEAR

2025

TIMELINE

6 WEEKS

01 — OVERVIEW

Auramancer bridges the mystical concept of auras with modern technology, creating an immersive experience that visualizes emotional and energetic states. The project combines computer vision, AI analysis, and procedural shader generation to produce unique, personalized visual representations in real-time.


Inspired by vintage aura photography and modern generative art, this installation invites participants to see themselves reflected through dynamic, flowing visual patterns that respond to their presence and emotional state.

The Challenge

Traditional aura photography relies on outdated technology and lacks the dynamic, personalized experience that modern audiences expect. The goal was to create an installation that felt both mystical and technologically sophisticated, generating truly unique visualizations for each participant.

Solution

Developed a custom pipeline that captures camera input, analyzes visual and contextual data through AI, and generates procedural shaders in real-time. Each visualization is unique, combining ShaderToy-style effects with personalized parameters derived from the participant's captured image.

02 — Development

Technical Stack

02 — Development

Technical Stack

Claude

Three.js

Procedural Shaders

AI Vision Mode

Canvas API

JavaScript

Real-time Rendering

WebGL / GLSL

Example of Generations based on aura

Process

01

Research & Concept

Explored the history of aura photography, mystical visualization systems, and contemporary generative art to establish a conceptual foundation.

02

Technical Architecture

Designed the pipeline connecting camera input, AI analysis, shader generation, and real-time rendering with Three.js and WebGL.

03

Shader Development

Created procedural GLSL shaders with dynamic parameters, incorporating fluid simulations, color gradients, and particle systems.

04

AI Integration

Implemented AI-powered analysis to extract emotional and aesthetic qualities from camera input, translating them into shader parameters.

Full Prototype Video Walkthrough

Key Features

Real-time Generation

Shaders are procedurally generated and rendered instantly, creating a responsive and engaging experience

AI-Powered Analysis

Computer vision models analyze captured images to determine color palettes, energy levels, and visual characteristics

Unique Visualizations

No two auras are the same—each shader combines personalized parameters with randomized elements

Performance Optimization

Efficient texture handling and shader compilation ensure smooth 60fps rendering even with complex effects

Real-time Generation

Shaders are procedurally generated and rendered instantly, creating a responsive and engaging experience

03 — OUTCOME

Technical Challenges

The most significant challenge was achieving smooth real-time performance while generating complex procedural shaders. Initial implementations experienced frame rate drops due to texture binding and shader compilation overhead. This required optimizing the render pipeline, implementing efficient texture caching, and carefully managing WebGL state changes.


Additionally, translating abstract AI analysis into meaningful visual parameters required extensive experimentation to find the right balance between interpretive accuracy and aesthetic appeal.

The most significant challenge was achieving smooth real-time performance while generating complex procedural shaders. Initial implementations experienced frame rate drops due to texture binding and shader compilation overhead. This required optimizing the render pipeline, implementing efficient texture caching, and carefully managing WebGL state changes.


Additionally, translating abstract AI analysis into meaningful visual parameters required extensive experimentation to find the right balance between interpretive accuracy and aesthetic appeal.

Results & Impact

Auramancer successfully creates an engaging intersection of technology and mysticism, offering participants a unique way to visualize their energetic presence. The project demonstrates the potential of combining AI analysis with real-time generative graphics to create personalized, meaningful experiences.


The installation serves as both an artistic statement and a technical achievement, pushing the boundaries of real-time shader generation and interactive design.

Auramancer successfully creates an engaging intersection of technology and mysticism, offering participants a unique way to visualize their energetic presence. The project demonstrates the potential of combining AI analysis with real-time generative graphics to create personalized, meaningful experiences.


The installation serves as both an artistic statement and a technical achievement, pushing the boundaries of real-time shader generation and interactive design.

01 — OVERVIEW

The Challenge

Create three cohesive card background graphics for PlayStation's Beta Program that align with PlayStation's established brand identity while maintaining visual consistency across all designs.

Solution

Developed a custom pipeline that captures camera input, analyzes visual and contextual data through AI, and generates procedural shaders in real-time. Each visualization is unique, combining ShaderToy-style effects with personalized parameters derived from the participant's captured image.

© 2026 designbyhem. All Rights Reserved.

01 — OVERVIEW

Auramancer bridges the mystical concept of auras with modern technology, creating an immersive experience that visualizes emotional and energetic states. The project combines computer vision, AI analysis, and procedural shader generation to produce unique, personalized visual representations in real-time.


Inspired by vintage aura photography and modern generative art, this installation invites participants to see themselves reflected through dynamic, flowing visual patterns that respond to their presence and emotional state.

The Challenge

Traditional aura photography relies on outdated technology and lacks the dynamic, personalized experience that modern audiences expect. The goal was to create an installation that felt both mystical and technologically sophisticated, generating truly unique visualizations for each participant.

Solution

Developed a custom pipeline that captures camera input, analyzes visual and contextual data through AI, and generates procedural shaders in real-time. Each visualization is unique, combining ShaderToy-style effects with personalized parameters derived from the participant's captured image.

02 — Development

Technical Stack

Claude

Three.js

Procedural Shaders

AI Vision Mode

Canvas API

JavaScript

Real-time Rendering

WebGL / GLSL

Process

01

Research & Concept

Explored the history of aura photography, mystical visualization systems, and contemporary generative art to establish a conceptual foundation.

02

Technical Architecture

Designed the pipeline connecting camera input, AI analysis, shader generation, and real-time rendering with Three.js and WebGL.

03

Shader Development

Created procedural GLSL shaders with dynamic parameters, incorporating fluid simulations, color gradients, and particle systems.

04

AI Integration

Implemented AI-powered analysis to extract emotional and aesthetic qualities from camera input, translating them into shader parameters.

Key Features

Real-time Generation

Shaders are procedurally generated and rendered instantly, creating a responsive and engaging experience

AI-Powered Analysis

Computer vision models analyze captured images to determine color palettes, energy levels, and visual characteristics

Unique Visualizations

No two auras are the same—each shader combines personalized parameters with randomized elements

Performance Optimization

Efficient texture handling and shader compilation ensure smooth 60fps rendering even with complex effects

03 — OUTCOME

Technical Challenges

The most significant challenge was achieving smooth real-time performance while generating complex procedural shaders. Initial implementations experienced frame rate drops due to texture binding and shader compilation overhead. This required optimizing the render pipeline, implementing efficient texture caching, and carefully managing WebGL state changes.


Additionally, translating abstract AI analysis into meaningful visual parameters required extensive experimentation to find the right balance between interpretive accuracy and aesthetic appeal.

Results & Impact

Auramancer successfully creates an engaging intersection of technology and mysticism, offering participants a unique way to visualize their energetic presence. The project demonstrates the potential of combining AI analysis with real-time generative graphics to create personalized, meaningful experiences.


The installation serves as both an artistic statement and a technical achievement, pushing the boundaries of real-time shader generation and interactive design.

© 2026 designbyhem. All Rights Reserved.

01 — OVERVIEW

Auramancer bridges the mystical concept of auras with modern technology, creating an immersive experience that visualizes emotional and energetic states. The project combines computer vision, AI analysis, and procedural shader generation to produce unique, personalized visual representations in real-time.


Inspired by vintage aura photography and modern generative art, this installation invites participants to see themselves reflected through dynamic, flowing visual patterns that respond to their presence and emotional state.

The Challenge

Traditional aura photography relies on outdated technology and lacks the dynamic, personalized experience that modern audiences expect. The goal was to create an installation that felt both mystical and technologically sophisticated, generating truly unique visualizations for each participant.

Solution

Developed a custom pipeline that captures camera input, analyzes visual and contextual data through AI, and generates procedural shaders in real-time. Each visualization is unique, combining ShaderToy-style effects with personalized parameters derived from the participant's captured image.

02 — Development

Technical Stack

Claude

Three.js

Procedural Shaders

AI Vision Mode

Canvas API

JavaScript

Real-time Rendering

WebGL / GLSL

Example of Generations based on aura

Process

01

Research & Concept

Explored the history of aura photography, mystical visualization systems, and contemporary generative art to establish a conceptual foundation.

02

Technical Architecture

Designed the pipeline connecting camera input, AI analysis, shader generation, and real-time rendering with Three.js and WebGL.

03

Shader Development

Created procedural GLSL shaders with dynamic parameters, incorporating fluid simulations, color gradients, and particle systems.

04

AI Integration

Implemented AI-powered analysis to extract emotional and aesthetic qualities from camera input, translating them into shader parameters.

Full Prototype Video Walkthrough

Key Features

Real-time Generation

Shaders are procedurally generated and rendered instantly, creating a responsive and engaging experience

AI-Powered Analysis

Computer vision models analyze captured images to determine color palettes, energy levels, and visual characteristics

Unique Visualizations

No two auras are the same—each shader combines personalized parameters with randomized elements

Performance Optimization

Efficient texture handling and shader compilation ensure smooth 60fps rendering even with complex effects

03 — OUTCOME

Technical Challenges

The most significant challenge was achieving smooth real-time performance while generating complex procedural shaders. Initial implementations experienced frame rate drops due to texture binding and shader compilation overhead. This required optimizing the render pipeline, implementing efficient texture caching, and carefully managing WebGL state changes.


Additionally, translating abstract AI analysis into meaningful visual parameters required extensive experimentation to find the right balance between interpretive accuracy and aesthetic appeal.

Results & Impact

Auramancer successfully creates an engaging intersection of technology and mysticism, offering participants a unique way to visualize their energetic presence. The project demonstrates the potential of combining AI analysis with real-time generative graphics to create personalized, meaningful experiences.


The installation serves as both an artistic statement and a technical achievement, pushing the boundaries of real-time shader generation and interactive design.

© 2026 designbyhem. All Rights Reserved.

Example of Generations based on aura