// 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 = ''; }