Question 1

What is Verdara and how does it work from start to finish?

Accepted Answer

Verdara is a Spatial Eco-Twin & Architectural AI platform that transforms any building plot or home photo in 195+ countries into an interactive 3D ecological simulation. It combines satellite climatology (NASA POWER GHI & ERA5 rainfall), deterministic civil engineering physics, and Meta AI vision/reasoning to compute rooftop solar capacity, rainwater harvesting volume, biopore flood absorption, and circular waste value in real time.

Question 2

How does Verdara calibrate weather, currency, and solar data across 195+ countries?

Accepted Answer

Every country and city in Verdara is indexed to a Köppen-Geiger climate zone (such as Aw Tropical Monsoon, Cfb Oceanic, Csb Mediterranean, or BWh Hot Desert) paired with 12-month ERA5 precipitation normals and NASA POWER solar irradiance. Switching locations immediately updates local utility tariffs, currency formatting, grid CO2e intensity, and the 3D biome palette.

Question 3

How does the platform stay lightweight and run at 60 FPS across mobile and desktop?

Accepted Answer

Instead of downloading heavy 50MB external GLTF models, Verdara generates its entire 3D architecture procedurally in GPU memory (<18MB VRAM) with adaptive pixel ratios (DPR capped at [1, 1.6]). Furthermore, synchronous theme initialization and zero-delay CSS rendering ensure instant first paint on refresh without layout shift or hidden opacity lag.

Question 4

What is the exact difference between '01 Normal Day', '02 Storm Surge', and '03 AI Solution'?

Accepted Answer

The 3D Eco-District simulates how a residential block responds to climate extremes. Switching modes changes the atmospheric lighting, rain particle velocity, canal water height, flood warning overlays, and structural green retrofits in real time so you can visually verify before-and-after environmental resilience.

Question 5

How do 3D scroll zoom, orbit drag, and page Smooth Scroll work together?

Accepted Answer

When your cursor is positioned inside the 3D Eco-District or 3D Radar viewport, scrolling your mouse wheel or trackpad zooms the 3D camera smoothly in and out (3.2m close-up to 13.5m overview), while dragging orbits 360 degrees. As soon as your cursor moves outside the 3D canvas, our universal Lenis Smooth Scroll glides the page without conflict.

Question 6

How does the 3D Urban Radar locate nearby recycling hubs and calculate distances?

Accepted Answer

The 3D Geospatial Radar (/radar) renders a 55-degree pitched MapLibre GL 3D building extrusion map synchronized with your active city. It queries verified circular economy drop-off points (Waste Banks, Compost Hubs, E-Waste stations) and computes exact geodesic distance (km/mi) using the spherical Haversine formula.

Question 7

What is Verdara Lens and how does it differ from a standard scanner?

Accepted Answer

Verdara Lens is the evolution of circular waste scanning. In addition to identifying recyclable materials and Bank Sampah recovery guidelines, Verdara Lens can also diagnose your plant health and disease conditions using Meta SAM 3.1 from a single camera snapshot.

Question 8

How does AI Waste Scanning work?

Accepted Answer

We utilize advanced AI Vision technology to analyze photos in real time, delivering precise material classifications, hygienic sorting instructions, and accurate Bank Sampah economic recovery valuations.

Question 9

How accurate is the AI plant disease diagnosis?

Accepted Answer

The plant diagnosis feature provides high-confidence estimates based on visible visual symptoms (such as leaf lesions and chlorosis). For optimal accuracy, ensure adequate lighting and clear focus on the affected foliage. It also generates an actionable 7-Day Organic Care Plan with direct Dr. Flora consultation.

Question 10

How does Meta SAM 3.1 segment roof pitches and recyclable materials from a photo?

Accepted Answer

In the SAM 3.1 Spatial Lens (/lens), uploaded photos are processed through /api/vision/segment. Meta SAM 3.1 executes zero-shot spatial polygon segmentation to isolate unobstructed roof slabs (subtracting chimneys, HVAC units, and tree shade), gutter catchment perimeters, and circular waste items, returning SVG vector masks and usable m²/ft² area.

Question 11

How does the 3-Agent AI Council deliberate and guarantee zero hallucinated numbers?

Accepted Answer

The AI Council (/council) uses Meta Muse Spark to orchestrate 3 specialist personas: Dr. Flora (Botanist & Microclimate), Ir. Arka (Solar & Hydrological Civil Engineer), and Sirkula (Circular Material Economist). To eliminate AI hallucination, our deterministic Physics Engine calculates all kWh, Liters, and CAPEX/ROI figures first, locks them into the system prompt, and validates every output claim within a strict +/-3% tolerance.

Question 12

How is rooftop solar capacity (kWp) and annual generation (kWh/yr) calculated?

Accepted Answer

Verdara implements the NREL PVWatts v8 physical formulation in src/lib/science/solar.ts. Net usable roof area (72% of gross footprint after perimeter setbacks) is multiplied by monocrystalline module efficiency (20.8%), local daily solar irradiance (GHI), system performance ratio (0.84), and a thermal cell derating coefficient (gamma = -0.0038/°C above 25°C STC).

Question 13

What formulas govern rainwater harvesting volume and biopore flood absorption?

Accepted Answer

Rainwater harvesting follows the German DIN 1989-1 standard, combining effective roof catchment area, annual ERA5 rainfall (mm/yr), surface runoff coefficient (psi = 0.85), and first-flush filter efficiency (eta = 0.90). Ground flood mitigation uses Brata’s Cylindrical Biopore Hydraulics and Darcy’s Law to size 10cm x 100cm compost-filled infiltration shafts.

Question 14

How is the Thermal Comfort Index (0-100) computed and improved by green retrofits?

Accepted Answer

The Thermal Comfort Index (TCI, 0 to 100) models microclimate heat stress using ASHRAE-55 principles, combining ambient temperature, relative humidity, solar radiation load, and roof surface albedo. Installing solar shading panels, high-albedo cool-roof coatings, and biopore-fed vegetation reduces roof slab temperature by 1.8°C to 3.2°C.

Question 15

How is Verdara's Enterprise Database v3.2 structured and can I export live snapshots?

Accepted Answer

Verdara operates an Enterprise Spatial Cloud Store v3.2 (/api/db) featuring normalized schemas with relational integrity and dual-layer persistence (IndexedDB / LocalStorage client state synced with server-side JSON-WAL snapshots). You can inspect live records and export full JSON snapshots from /settings.

Question 16

How does the Field Proof Ledger verify real-world eco-actions and prevent fake duplicate photos?

Accepted Answer

In the Field Proofs workspace (/academy), users upload photos of real sustainability installations (solar panels, biopore holes, sorted recyclables). Meta SAM 3.1 verifies the object class, while our perceptual 64-bit dHash algorithm (dhash.ts) computes an 8x8 luminance gradient fingerprint and rejects duplicate or slightly cropped photos whenever Hamming distance <= 8.

Question 17

Why must users sign in before accessing the Dashboard and Studio workspaces?

Accepted Answer

To protect API quotas and isolate personal spatial configurations, first-time visitors start on the public showcase (/), Documentation (/academy), and FAQ (/faq). Navigating to any studio workspace (/dashboard, /lens, /radar, /council, /academy, /settings) triggers our AuthGate, which redirects unauthenticated visitors to /login and restores their target destination immediately after sign-in.

Question 18

How does the 7-Layer API Credit Shield prevent quota exhaustion while keeping responses under 50ms?

Accepted Answer

Multimodal AI inference can be expensive under heavy traffic. Our 7-Layer Credit Shield protects cloud budgets via (1) Pre-verified Golden Specimen caching (<50ms at $0 cost), (2) SHA-256 payload deduplication, (3) client-side image compression (1024px max), (4) strict output token caps, (5) IP sliding-window rate limiting, (6) Priority AI Shield compute allocation, and (7) deterministic physics fallback.

Question 19

What OWASP ASVS security headers and backend protections safeguard Verdara?

Accepted Answer

Verdara is engineered to OWASP ASVS L2 standards. Every HTTP response enforces Content-Security-Policy (CSP), X-Frame-Options: DENY, X-Content-Type-Options: nosniff, Referrer-Policy, and Permissions-Policy via next.config.ts. All backend routes isolate API keys strictly on the server, validate payload sizes and MIME types, and sanitize user prompts against injection attacks.

Frequently Asked Questions & System Guide