🌊 AquaMind AI — Official Web Application & GitHub Pages

🌐 Live Website: https://aquamindai.github.io
🔒 Core Enterprise Repository & Research Data (Private): AquaMindAI/AquaMindAI

Important

🔒 Məlumatların Məxfiliyi və Giriş İcazəsi (Private Data & Access Request)

Bu layihənin əsas tədqiqat dataları, eksperimental telemetriya bazası, AI modelləri, mikrokontroller proqram təminatı və tam mənbə kodu (AquaMindAI monorepo) məxfidir (Private).

Akademik tədqiqat, elmi rəy (peer-review), tərəfdaşlıq və ya məxfi repozitoriyalara və datalara giriş icazəsi (access) əldə etmək istəyirsinizsə, rəsmi elektron poçt ünvanları vasitəsilə müraciət edə bilərsiniz:

• 📧 Əsas E-poçt: suleyman.hacizade1@gmail.com
• 🎓 Akademik E-poçt: suleyman.hacizade.232bioing@wcu.edu.az

Welcome to the official frontend deployment repository of AquaMind AI, the intelligent closed-loop IoT and machine learning platform for precision aquaculture and circular aquaponics.

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🧭 Public Platform Routes & Architecture Sitemap

All pages are pre-rendered statically with enterprise Search Engine Optimization (SEO), Open Graph cards, and Schema.org JSON-LD structured data:

URL / Path	Title & Description	Schema Type
/	AquaMind AI Dashboard — Real-time telemetry, multi-pool monitoring & ML forecasts	WebApplication, Organization
/research/	Scientific Research & Publication — Peer-reviewed RJAAA framework, author bio & equations	ScholarlyArticle, Person
/architecture/	System Architecture & IoT — 4-tier CPS architecture, ESP32 pinout & FastAPI/AI specs	TechArticle
/access/	Private Data & Access Policy — Verification protocol and email contact links	ContactPage
/wiki/	Knowledge Base & Documentation — Nitrification biology, sensor calibration & FAQ	FAQPage, CollectionPage
/sitemap.xml	XML Sitemap — Google standard sitemap with images & priority weights	XML Schema
/robots.txt	Robots Directives — Search engine crawler instructions (Google, Bing, Yandex, etc.)	TXT Directives

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🌟 Key Features of the Web Interface

• Live Multi-Pool Monitoring: Real-time telemetry for Sturgeon (Acipenser), Nile Tilapia (Oreochromis), and Rainbow Trout (Oncorhynchus) recirculating loops.
• Harmonic Diurnal Thermal Forecasts: 1-hour, 3-hour, and 6-hour machine learning water temperature projections with dynamic confidence intervals.
• Parametric Health & Risk Scoring: Instant feedback on ecosystem stability ($S_{\text{health}}$ and $R_{\text{system}}$).
• Interactive Failure Simulation: Test critical conditions like +8°C Thermal Spike and -45cm Water Leak with instant alarm trigger and resolution.
• Client-Side Reactive Telemetry Engine: Operates reliably both as a standalone demo on GitHub Pages and when connected to live physical hardware via FastAPI.

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🛠️ Local Development

# 1. Clone this repository
git clone https://github.com/AquaMindAI/AquaMindAI.github.io.git
cd AquaMindAI.github.io

# 2. Install dependencies
npm install

# 3. Start local development server
npm run dev
# Live at http://localhost:3000

# 4. Build and export static site
npm run build

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📜 License & Authorship

Licensed under the Apache License, Version 2.0.
Copyright © 2026 AquaMind AI / Suleyman Hajizade (Western Caspian University).