👉 https://ocean-monitoring-system.vercel.app/
India has a vast coastline of over 7,500 km, but there is no unified real-time system to monitor phytoplankton blooms, water quality, and marine risks. This leads to economic losses for fishermen, health risks from harmful algal blooms (HABs), and delayed response to marine hazards.
We developed an AI-powered coastal monitoring system that predicts phytoplankton blooms using environmental data and provides real-time, localized alerts through an interactive dashboard.
- 📊 Real-time bloom risk prediction
- 🗺️ Interactive coastal monitoring dashboard
- 🌐 Multilingual alert system for fishermen
- 📉 Data visualization of risk levels
- 🧠 AI-based risk scoring model
- 👥 Role-based insights (fishermen, researchers, government)
- React.js
- Tailwind CSS
- Vite
- Node.js
- Simulated datasets inspired by INCOIS, ISRO, CPCB
- Custom AI-based bloom prediction logic
- Vercel
OceanMonitoringSystem/
│
├── src/ # React components and logic
├── public/ # Static assets
├── backend/ # Backend (optional / future use)
│
├── index.html
├── package.json
├── vite.config.js
├── README.md
git clone https://github.com/Jeyxnth/OceanMonitoringSystem.git
cd ocean_monitoring_system
npm install
npm run dev- Real-time satellite data integration
- WebSocket-based live alerts
- Mobile app for fishermen
- Advanced ML models for prediction
- Government policy recommendation system
This system enables faster, data-driven decision-making for coastal monitoring, helping reduce economic losses, improve safety for fishermen, and protect marine ecosystems.