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<!DOCTYPE html>
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<head>
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<title>About - Miles Waite</title>
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<h2>About</h2>
<h3 style="font-size: 1.2rem; font-weight: 400; color: #666; margin-top: -1rem; margin-bottom: 2rem; text-align: center;">Miles Waite</h3>
<div class="about-content">
<div class="about-text">
<ul>
<li>Certified by the <strong>Santa Fe Institute of Complex Science</strong>, with expertise in complex, adaptive systems.</li>
<li>20+ years experience in designing, implementing & testing large-scale real-time complex systems, & automating company-wide processes.</li>
<li>Proven experience of combining <strong>TouchDesigner and Python</strong> to create immersive, interactive, and reliable experiences.</li>
<li>Specialise in <strong>systems-thinking applied to creative tech</strong>, ensuring projects are visually compelling and technically robust.</li>
<li>Experienced in hybrid roles bridging technical problem solving and experimental creative work.</li>
</ul>
<p class="tagline">Emergent. Robust. Antifragile</p>
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© 2025 Miles Waite. All Rights Reserved.
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<!DOCTYPE html>
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<title>API Text DAT - Miles Waite</title>
<meta name="description" content="Data-driven visualizations using real-time API feeds and text processing" />
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<li><a href="index.html#about">About</a></li>
</ul>
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<main>
<section class="information-header">
<h2>Information</h2>
</section>
<section class="page-title-header">
<h2>API Text DAT</h2>
</section>
<section class="hero">
<div class="hero-content">
<p class="subtitle">Project</p>
<h1>API Text DAT</h1>
<p class="description">
Data-driven visualizations using real-time API feeds and text processing
</p>
</div>
</section>
<section class="project-details">
<div class="project-content">
<div class="project-info">
<h2>Overview</h2>
<p>This project demonstrates the power of real-time data visualization by connecting live API feeds to dynamic visual systems. Using TouchDesigner's Text DAT operators combined with custom Python scripts, the system fetches, processes, and visualizes streaming data from various sources including social media, weather, financial markets, and IoT sensors.</p>
<h3>Technical Implementation</h3>
<ul>
<li><strong>API Integration:</strong> RESTful API connections with authentication and rate limiting</li>
<li><strong>Data Processing:</strong> JSON parsing, text analysis, and data transformation</li>
<li><strong>Real-time Updates:</strong> Asynchronous data fetching with error handling</li>
<li><strong>Text Analysis:</strong> Natural language processing and sentiment analysis</li>
<li><strong>Visual Mapping:</strong> Dynamic parameter mapping from data to visual elements</li>
</ul>
<h3>Key Features</h3>
<ul>
<li>Multiple API source integration (Twitter, weather, stock prices, etc.)</li>
<li>Real-time text processing and keyword extraction</li>
<li>Adaptive visual responses based on data trends</li>
<li>Historical data comparison and trend visualization</li>
<li>Configurable data refresh rates and visualization parameters</li>
</ul>
<h3>Data Sources</h3>
<ul>
<li><strong>Social Media:</strong> Twitter API for real-time sentiment analysis</li>
<li><strong>Weather Data:</strong> OpenWeatherMap for environmental visualization</li>
<li><strong>Financial Markets:</strong> Stock price feeds for economic indicators</li>
<li><strong>IoT Sensors:</strong> Custom sensor networks for environmental monitoring</li>
</ul>
<h3>Applications</h3>
<p>This system has been used for data journalism projects, interactive installations that respond to current events, and educational demonstrations of data visualization principles. The modular design allows for easy adaptation to new data sources and visualization requirements.</p>
</div>
<div class="project-media">
<div class="animated-card-title">API Text DAT</div>
<div class="media-placeholder">
<p>Media content will be loaded from assets/projects/api-text-dat/</p>
<ul>
<li>Videos: Real-time data visualization examples</li>
<li>Images: Screenshots of different data visualizations</li>
<li>Code: TouchDesigner networks and Python API scripts</li>
<li>Documentation: API integration guides and setup instructions</li>
</ul>
</div>
</div>
</div>
</section>
<section class="contact-info">
<h2>Contact</h2>
<div class="contact-details">
<a href="mailto:lorenzsys@protonmail.com">lorenzsys@protonmail.com</a>
<a href="https://mileswaite.net">mileswaite.net</a>
<a href="about.html" class="cta-button">Work With Me ></a>
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<h2>Audio Reactive Abstract Geometry</h2>
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<p class="subtitle">Project</p>
<h1>Audio Reactive Abstract Geometry</h1>
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Real-time geometric visualizations that respond dynamically to audio input using
<span class="tooltip">TouchDesigner<span class="tooltiptext">Node-based visual programming language for real-time interactive multimedia content. Used for creating interactive installations, live visuals, and generative art.</span></span>
and <span class="tooltip">Python<span class="tooltiptext">Programming language used for audio analysis, data processing, and extending TouchDesigner functionality. Handles FFT analysis, beat detection, and parameter automation.</span></span>
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<h2>Overview</h2>
<p>This project explores the intersection of audio analysis and geometric visualization, creating dynamic abstract forms that respond in real-time to musical input. Using TouchDesigner's powerful node-based system combined with custom Python scripts, the system analyzes audio frequencies, amplitude, and rhythmic patterns to drive complex geometric transformations.</p>
<h3>Technical Implementation</h3>
<ul>
<li><strong>Audio Analysis:</strong> Real-time FFT analysis for frequency domain processing</li>
<li><strong>Beat Detection:</strong> Custom Python algorithms for rhythm tracking</li>
<li><strong>Geometric Generation:</strong> Procedural geometry creation in TouchDesigner</li>
<li><strong>Parameter Mapping:</strong> Dynamic mapping of audio features to visual parameters</li>
<li><strong>Performance Optimization:</strong> GPU-accelerated rendering for smooth real-time performance</li>
</ul>
<h3>Key Features</h3>
<ul>
<li>Multi-frequency band analysis with independent geometric responses</li>
<li>Adaptive color palettes that shift based on harmonic content</li>
<li>Complex particle systems driven by rhythmic patterns</li>
<li>Real-time parameter adjustment for live performance</li>
<li>Export capabilities for high-resolution video output</li>
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<h3>Applications</h3>
<p>This system has been used for live music performances, interactive installations, and music video production. The modular design allows for easy customization and adaptation to different musical styles and performance contexts.</p>
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<li>Audio: Example audio tracks</li>
<li>Code: TouchDesigner files and Python scripts</li>
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<h2>Audio Reactive Visuals</h2>
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<p class="subtitle">Music</p>
<h1>Audio Reactive Visuals</h1>
<p class="description">
Real-time generative visuals that respond to audio input using TouchDesigner and Python
</p>
</div>
</section>
<section class="project-details">
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<h2>Overview</h2>
<p>This project creates immersive visual experiences that dynamically respond to musical input in real-time. Using advanced audio analysis techniques combined with generative visual algorithms, the system transforms sound into compelling visual narratives that enhance musical performances and create unique audiovisual experiences.</p>
<h3>Audio Analysis Techniques</h3>
<ul>
<li><strong>FFT Analysis:</strong> Real-time frequency domain analysis for spectral visualization</li>
<li><strong>Beat Detection:</strong> Onset detection and tempo tracking for rhythmic synchronization</li>
<li><strong>Harmonic Analysis:</strong> Chord detection and tonal center identification</li>
<li><strong>Dynamic Range:</strong> Amplitude envelope following and dynamic response</li>
<li><strong>Spectral Features:</strong> Centroid, rolloff, and flux analysis for timbral mapping</li>
</ul>
<h3>Visual Generation Systems</h3>
<ul>
<li>Particle systems driven by frequency bands</li>
<li>Geometric transformations responding to harmonic content</li>
<li>Color palettes that shift with musical key changes</li>
<li>Fluid dynamics simulations controlled by rhythm</li>
<li>Fractal generation with audio-driven parameters</li>
</ul>
<h3>Performance Features</h3>
<ul>
<li><strong>Live Input:</strong> Real-time microphone and line input processing</li>
<li><strong>MIDI Integration:</strong> Additional control via MIDI controllers</li>
<li><strong>Preset Management:</strong> Quick switching between visual styles</li>
<li><strong>Recording Capabilities:</strong> High-resolution video output for post-production</li>
<li><strong>Multi-display Support:</strong> Projection mapping and multi-screen setups</li>
</ul>
<h3>Applications</h3>
<p>These visual systems have been used in live concerts, DJ performances, music festivals, and interactive installations. The modular design allows for customization to different musical genres and performance contexts, from intimate acoustic sets to large-scale electronic music events.</p>
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<li>Videos: Live performance recordings</li>
<li>Audio: Example tracks with synchronized visuals</li>
<li>Images: High-resolution visual captures</li>
<li>Code: TouchDesigner networks and Python analysis scripts</li>
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<a href="mailto:lorenzsys@protonmail.com">lorenzsys@protonmail.com</a>
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<title>Creative Coding - Miles Waite</title>
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<h2>Information</h2>
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<h2>Creative Coding</h2>
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<p class="subtitle">Code</p>
<h1>Creative Coding</h1>
<p class="description">
Generative art, procedural graphics, and algorithmic design
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<h2>Overview</h2>
<p>Creative coding represents the intersection of artistic expression and computational thinking, where algorithms become brushes and code becomes canvas. This collection explores generative art, procedural graphics, and algorithmic design across multiple platforms and programming languages, creating unique visual experiences that emerge from mathematical and computational processes.</p>
<h3>Creative Platforms</h3>
<ul>
<li><strong>Processing/p5.js:</strong> Interactive graphics and generative art</li>
<li><strong>TouchDesigner:</strong> Real-time visual systems and installations</li>
<li><strong>OpenFrameworks:</strong> C++ creative applications and performance tools</li>
<li><strong>Python:</strong> Data-driven art and algorithmic composition</li>
<li><strong>GLSL Shaders:</strong> GPU-accelerated visual effects and generative graphics</li>
</ul>
<h3>Algorithmic Approaches</h3>
<ul>
<li>Fractal geometry and L-system generation</li>
<li>Cellular automata and emergent pattern creation</li>
<li>Perlin noise and organic texture generation</li>
<li>Physics simulation and particle systems</li>
<li>Machine learning and neural network art</li>
</ul>
<h3>Visual Techniques</h3>
<ul>
<li><strong>Procedural Generation:</strong> Rule-based content creation</li>
<li><strong>Data Visualization:</strong> Transforming data into visual narratives</li>
<li><strong>Interactive Systems:</strong> User-responsive and adaptive graphics</li>
<li><strong>Generative Animation:</strong> Time-based algorithmic motion</li>
<li><strong>Parametric Design:</strong> Variable-driven visual exploration</li>
</ul>
<h3>Mathematical Foundations</h3>
<ul>
<li>Complex number mathematics for fractal generation</li>
<li>Trigonometric functions for organic motion patterns</li>
<li>Linear algebra for 3D transformations and projections</li>
<li>Probability theory for stochastic art generation</li>
<li>Differential equations for natural phenomenon simulation</li>
</ul>
<h3>Project Categories</h3>
<ul>
<li><strong>Generative Art:</strong> Autonomous artistic creation systems</li>
<li><strong>Interactive Installations:</strong> Responsive environmental art</li>
<li><strong>Data Art:</strong> Visualization of complex datasets</li>
<li><strong>Algorithmic Animation:</strong> Procedural motion graphics</li>
<li><strong>Experimental Interfaces:</strong> Novel interaction paradigms</li>
</ul>
<h3>Technical Innovation</h3>
<p>Projects push the boundaries of what's possible with creative coding, exploring new algorithms, novel interaction methods, and innovative visual techniques. Each project serves as both artistic expression and technical research, contributing to the broader creative coding community.</p>
<h3>Cross-Platform Integration</h3>
<p>Creative coding projects are designed to integrate with other creative tools and platforms, enabling seamless workflows between different software environments and hardware systems. This includes real-time communication with audio software, sensor integration, and web-based interactive experiences.</p>
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<div class="animated-card-title">Creative Coding</div>
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<p>Media content will be loaded from assets/code/creative-coding/</p>
<ul>
<li>Videos: Generative art animations and interactive demonstrations</li>
<li>Images: High-resolution generative art outputs</li>
<li>Code: Source code for Processing, p5.js, and other platforms</li>
<li>Documentation: Algorithm explanations and creative process notes</li>
</ul>
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<a href="mailto:lorenzsys@protonmail.com">lorenzsys@protonmail.com</a>
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<!DOCTYPE html>
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<title>Cyberpunk Network - Miles Waite</title>
<style>
body {
margin: 0;
padding: 0;
overflow: hidden;
background: linear-gradient(135deg, #fafafa 0%, #f5f5f5 100%);
font-family: 'Courier New', monospace;
cursor: crosshair;
}
#network-canvas {
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
z-index: 1;
}
.text-label {
position: absolute;
color: #333;
font-size: 14px;
font-weight: bold;
pointer-events: none;
z-index: 10;
opacity: 0;
transition: opacity 0.5s ease;
background: rgba(255, 255, 255, 0.3);
padding: 8px 12px;
border: 2px solid rgba(102, 102, 102, 0.4);
box-shadow: 0 4px 12px rgba(0,0,0,0.05);
}
.text-label.square {
border-radius: 0px;
border-style: solid;
min-width: 80px;
text-align: center;
padding: 10px 15px;
}
.text-label.rectangle {
border-radius: 3px;
border-style: solid;
padding: 15px 25px;
min-width: 120px;
min-height: 40px;
display: flex;
align-items: center;
justify-content: center;
border-width: 1px;
}
.text-label.visible {
opacity: 1;
}
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<body>
<canvas id="network-canvas"></canvas>
<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script>
<script>
class CyberpunkNetwork {
constructor() {
this.canvas = document.getElementById('network-canvas');
this.scene = new THREE.Scene();
this.camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
this.renderer = new THREE.WebGLRenderer({ canvas: this.canvas, antialias: true });
this.nodes = [];
this.connections = [];
this.textLabels = [];
this.verticalRects = [];
this.centralSphere = null;
this.mouse = new THREE.Vector2();
this.time = 0;
// Mixed text and number labels for the network
this.labelTexts = [
"0.847", "Neural pathways", "3.142", "To the feeling", "127.0.0.1",
"Take me back", "99.7%", "Data streams", "404", "Say it again",
"Complex systems", "2048", "Emergent patterns", "0xFF", "Adaptive networks",
"Information flow", "1337", "Cognitive maps", "0.001ms", "I'm losing myself",
"Memory traces", "512MB", "Signal processing", "3.14159", "Pattern recognition",
"System dynamics", "0xDEADBEEF", "Processing...", "100%", "Connection established"
];
this.init();
this.createNetwork();
this.createCentralSphere();
this.createVerticalRectangles();
this.createTextLabels();
this.animate();
this.setupEventListeners();
}
init() {
this.renderer.setSize(window.innerWidth, window.innerHeight);
this.renderer.setClearColor(0xfafafa, 1);
this.camera.position.z = 50;
}
createNetwork() {
// Create glowing nodes in 3D layers
for (let i = 0; i < 40; i++) {
const node = this.createGlowingNode(i);
this.nodes.push(node);
this.scene.add(node.mesh);
}
this.updateConnections();
}
createGlowingNode(index) {
// Core wireframe sphere - very clear black lattice lines
const coreSize = 0.3 + Math.random() * 0.5;
const coreGeometry = new THREE.SphereGeometry(coreSize, 20, 20);
const coreMaterial = new THREE.MeshBasicMaterial({
color: 0x000000,
transparent: false,
wireframe: true
});
const core = new THREE.Mesh(coreGeometry, coreMaterial);
// Outer glow effect - subtle gray
const glowSize = 1 + Math.random() * 1.5;
const glowGeometry = new THREE.SphereGeometry(glowSize, 16, 16);
const glowMaterial = new THREE.MeshBasicMaterial({
color: 0x666666,
transparent: true,
opacity: 0.15
});
const glow = new THREE.Mesh(glowGeometry, glowMaterial);
// Lattice wireframe effect - black lines for clarity
const sparkleSize = glowSize * 1.2;
const sparkleGeometry = new THREE.SphereGeometry(sparkleSize, 16, 16);
const sparkleMaterial = new THREE.MeshBasicMaterial({
color: 0x000000,
transparent: true,
opacity: 0.6,
wireframe: true
});
const sparkle = new THREE.Mesh(sparkleGeometry, sparkleMaterial);
// Group them together
const group = new THREE.Group();
group.add(core);
group.add(glow);
group.add(sparkle);
// 3D layered positioning - create depth
const layer = Math.floor(index / 10); // 4 layers
const zDepth = -60 + (layer * 40); // Spread across Z axis
group.position.set(
(Math.random() - 0.5) * (100 + layer * 20),
(Math.random() - 0.5) * (80 + layer * 15),
zDepth + (Math.random() - 0.5) * 20
);
return {
mesh: group,
core: core,
glow: glow,
sparkle: sparkle,
connections: [],
energy: Math.random(),
phase: Math.random() * Math.PI * 2,
pulseSpeed: 1 + Math.random() * 2,
layer: layer,
size: coreSize
};
}
updateConnections() {
// Remove old connections
this.connections.forEach(connection => {
this.scene.remove(connection);
});
this.connections = [];
// Clear node connections
this.nodes.forEach(node => {
node.connections = [];
});
// Create 3D layered connections
for (let i = 0; i < this.nodes.length; i++) {
for (let j = i + 1; j < this.nodes.length; j++) {
const node1 = this.nodes[i];