🌊👁️ OceanEye

Real-Time Ocean Health Monitoring & Decision Support System

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📖 Overview

Ocean ecosystems today face severe threats from oil spills, plastic pollution, and pH imbalance, yet most existing systems only display raw data without actionable intelligence.

OceanEye is a real-time, simulation-driven decision support platform that:

• Monitors ocean conditions
• Calculates environmental risk
• Identifies root causes
• Suggests actions

👉 It converts raw data into actionable insights.

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🎯 Problem

• No real-time ocean pollution monitoring
• No actionable alerts
• Fragmented datasets
• No intelligent risk scoring

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💡 Solution

OceanEye provides:

• Real-time monitoring
• Risk scoring (0–100)
• Root cause analysis
• Action recommendations

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✨ Features

⚡ Real-Time Simulation

• Updates every 5 seconds
• Simulates real-world fluctuations & spikes

🧠 Risk Engine

• pH (30%)
• Oil (40%)
• Plastic (30%)
• Output: Risk Score (0–100)

🚨 Alerts

• Detects abnormal conditions
• Shows cause + recommendation

🗺️ Map

• 6 global ocean zones
• Color-coded markers

📊 Analytics

• Trend charts
• Distribution graphs

🔄 Smoothing

• Raw vs Moving Average

📁 Export

• CSV download

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🔄 Architecture

Simulation Engine → MongoDB → API → Dashboard

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🌐 Why Simulation?

• No real-time unified ocean API
• Real APIs are complex & delayed

👉 System is ready for:

• NOAA
• Copernicus
• NASA

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💻 Tech Stack

Frontend:

• React + Vite
• Tailwind
• Recharts
• Leaflet

Backend:

• Node.js + Express
• MongoDB
• Simulation Engine

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🚀 Live Demo

website: https://oceaneye-48ur.onrender.com/

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🚀 Run Locally

Backend: cd ocean-eye/server npm install npm start

Frontend: cd ocean-eye/client npm install npm run dev

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📊 Risk Levels

Score	Level	Meaning
0–33	Safe	Normal
34–66	Moderate	Warning
67–100	Dangerous	Critical

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🏆 Highlights

• Real-time system
• Smart risk engine
• Clean UI
• Fully deployed

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🔮 Future Scope

• Real API integration
• IoT sensors
• AI prediction

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