AquaVeda is a real-time monitoring platform designed to track and analyze river water quality parameters such as pH, turbidity, conductivity, and dissolved oxygen.
It leverages AI-driven analytics, IoT sensors, and cloud dashboards to provide actionable insights for environmental safety and sustainability.
🔗 Live Demo: AquaVeda
- 📡 Real-time sensor data collection
- 📊 Interactive dashboard with live charts
- 🌐 Cloud-hosted platform for accessibility
- 🧠 AI-based anomaly detection and analytics
- ⚡ Instant alerts for unsafe water conditions
- 🗂️ Historical data logging and visualization
- IoT sensors collect water quality parameters
- Data is transmitted to the backend in real time
- AI models analyze trends and detect anomalies
- Dashboard visualizes live and historical data
- Alerts are triggered when thresholds are exceeded
- JavaScript – frontend interactivity & real-time updates
- Python – backend analytics & AI models
- HTML & CSS – web structure and styling
- React.js / Next.js – frontend dashboard
- Node.js / Express – backend API services
- Socket.IO / WebSockets – real-time communication
- NumPy / Pandas / Scikit-learn – data processing & ML
- MongoDB / PostgreSQL – database for sensor data
- Plotly / Chart.js – interactive data visualization
- River and lake water monitoring
- Smart city environmental dashboards
- Educational and research projects
- Government and NGO sustainability initiatives
- 🌐 Multilingual support for global deployment
- 📱 Mobile app integration
- ☁️ Advanced cloud scalability
- 🧩 Predictive analytics for water quality forecasting
- 🔗 Integration with GIS and mapping platforms
We welcome contributions!
Built with 🌊 passion for sustainability and clean water.