// System data
const systems = {
quantumnest: {
title: "QuantumNest OS",
subtitle: "Generative AI-powered operating system",
concept: "A generative AI-powered operating system built in Julia and Python, designed to manage hydrogen-bonded woven smart fabrics in frog-inspired aerodynamic nest homes.",
elements: ["H", "C", "N"],
features: [
"Adaptive thermal regulation via frog-skin mimicry",
"DNA-based biometric access",
"Uncertainty principle–driven privacy protocols",
"Green chemistry–optimized energy loops"
],
tech: "Built with Julia and Python, integrates advanced quantum computing principles with biomimetic architecture.",
image: "http://static.photos/technology/640x360/1"
},
thornbridge: {
title: "ThornBridge Calculus Engine",
subtitle: "Structural simulation system for bridge architecture",
concept: "A C++ and Java-based structural simulation system for bridge architecture inspired by thorn bushes, wild seeds, and ice-earth bonding.",
elements: ["Si", "Fe", "O"],
features: [
"Real-time calculus-based stress modeling",
"Atomic bonding visualizer for eco-materials",
"Geometry-driven wind resistance optimization",
"Ice-mirroring surface simulation"
],
tech: "C++ and Java architecture with real-time physics simulation capabilities.",
image: "http://static.photos/architecture/640x360/2"
},
deserthydro: {
title: "DesertHydro Dam Intelligence",
subtitle: "AI system for underwater desert dam architecture",
concept: "A Fortran-powered AI system for underwater desert dam architecture, woven with geometry and calculus, inspired by wild seeds and thorn bushes.",
elements: ["Ca", "Mg", "H"],
features: [
"Predictive aquifer mapping using Laplace transforms",
"Genomic water filtration algorithms",
"Adaptive dam skin with hydrogen-bonded fabric",
"Uncertainty-based flood risk modeling"
],
tech: "Fortran-powered with advanced hydrological modeling capabilities.",
image: "http://static.photos/water/640x360/3"
},
frogbiome: {
title: "FrogBiome Habitat Synthesizer",
subtitle: "System for designing frog-inspired countryside homes",
concept: "A C# and Python hybrid system for designing frog-inspired countryside homes, integrating human gene expression and green chemistry dynamics.",
elements: ["P", "S", "Zn"],
features: [
"AI-generated home blueprints based on amphibian biomechanics",
"Hydrogen-bonded woven interiors that shift with humidity",
"Gene-responsive lighting and ventilation",
"Quantum uncertainty–based privacy cloaking"
],
tech: "C# and Python hybrid architecture with biological integration.",
image: "http://static.photos/nature/640x360/4"
},
bioweave: {
title: "BioWeave Fashion Compiler",
subtitle: "Generative fashion engine for hydrogen-bonded textiles",
concept: "A JavaScript-based generative fashion engine for female models wearing long pullovers and jeans, woven with hydrogen chemical bonds and inspired by thorn bushes and wild seeds.",
elements: ["H", "B", "Cr"],
features: [
"AI-generated textile patterns based on countryside flora",
"Dynamic color shifts via quantum dot infusion",
"Eco-fabric synthesis using green chemistry",
"Uncertainty-driven style personalization"
],
tech: "JavaScript-based with real-time generative design capabilities.",
image: "http://static.photos/fashion/640x360/5"
},
marscycle: {
title: "MarsCycle Robotics Framework",
subtitle: "System for bicycle-robot-spaceship hybrids",
concept: "A Julia and C++ system for designing bicycle-robot-spaceship hybrids for Mars landings, inspired by thorn bushes, lemon soils, and wild weeds.",
elements: ["Ti", "Li", "Ne"],
features: [
"Algebraic motion planning for Martian terrain",
"Ice-mirroring wall camouflage",
"Animal dynamics–inspired suspension",
"Autonomous landing gear with uncertainty buffers"
],
tech: "Julia and C++ hybrid framework with aerospace robotics integration.",
image: "http://static.photos/space/640x360/6"
},
thornride: {
title: "ThornRide Algebraic Designer",
subtitle: "Generative AI tool for futuristic bicycles",
concept: "A generative AI tool built in Python and JavaScript for futuristic bicycle architecture, inspired by red thorn bushes and wild weeds.",
elements: ["Al", "C", "F"],
features: [
"Algebra-based frame optimization",
"Eco-material selection via atomic bonding simulation",
"Thorn-inspired aerodynamic shell",
"Uncertainty-driven terrain adaptation"
],
tech: "Python and JavaScript with parametric design algorithms.",
image: "http://static.photos/transport/640x360/7"
},
exojacket: {
title: "ExoJacket Physics Tailor",
subtitle: "AI fashion system for exoplanet explorers",
concept: "A C# and Java-based AI fashion system for female exoplanet explorers, designing short jackets with physics-inspired woven fabrics.",
elements: ["Ar", "Pt", "Te"],
features: [
"Pentagon crystal–based insulation",
"Ice-mirror camouflage for alien environments",
"Algebraic fit modeling for zero-gravity wear",
"Green chemistry–infused self-repairing fibers"
],
tech: "C# and Java architecture with advanced materials simulation.",
image: "http://static.photos/fashion/640x360/8"
},
tribokitchen: {
title: "TriboKitchen Genomic Interior AI",
subtitle: "Interior design system for kitchens",
concept: "A Fortran and Python-powered interior design system for kitchens inspired by tribology, tea leaves, gemstones, and ancient codes.",
elements: ["Cu", "Si", "Bi"],
features: [
"Genomic food prep zones with adaptive surfaces",
"Roman geometry–based spatial optimization",
"Euclidean trigonometry–driven appliance placement",
"Fourier and Laplace–enhanced aroma diffusion"
],
tech: "Fortran and Python hybrid with historical and mathematical integration.",
image: "http://static.photos/food/640x360/9"
}
};
// Show system details in modal
function showSystemDetails(systemId) {
const system = systems[systemId];
if (!system) return;
// Populate modal
document.getElementById('modalTitle').textContent = system.title;
document.getElementById('modalSubtitle').textContent = system.subtitle;
document.getElementById('modalConcept').textContent = system.concept;
document.getElementById('modalTech').textContent = system.tech;
document.getElementById('modalImage').src = system.image;
// Create elements list
const elementsContainer = document.getElementById('modalElements');
elementsContainer.innerHTML = '';
system.elements.forEach(el => {
const span = document.createElement('span');
span.className = 'px-3 py-1 rounded-full text-xs font-medium bg-gray-700/50';
span.textContent = el;
elementsContainer.appendChild(span);
});
// Create features list
const featuresContainer = document.getElementById('modalFeatures');
featuresContainer.innerHTML = '';
system.features.forEach(feat => {
const li = document.createElement('li');
li.className = 'flex items-start';
li.innerHTML = `
${feat}
`;
featuresContainer.appendChild(li);
});
// Show modal
const modal = document.getElementById('systemModal');
modal.setAttribute('data-show', 'true');
modal.classList.remove('hidden');
modal.classList.add('flex');
document.body.style.overflow = 'hidden';
}
// Hide system details modal
function hideSystemDetails() {
const modal = document.getElementById('systemModal');
modal.setAttribute('data-show', 'false');
modal.classList.add('hidden');
modal.classList.remove('flex');
document.body.style.overflow = '';
}