Next-Gen Water Conservation Through AI Analytics

Harnessing IoT networks and predictive machine learning to safeguard aquatic ecosystems with real-time contamination tracking and automated quality control.

98.7%

Detection Accuracy

24/7

Real-time Monitoring

50ms

Alert Response Time

Live Data Streaming

Intelligent Water Monitoring

Advanced sensor fusion and predictive analytics for comprehensive water quality management

Multi-Parameter Analysis

Turbidity (NTU)

pH Levels

Temp (°C)

TDS (ppm)

LSTM Predictions

Deep learning model processing 50k+ data points with 92% forecast accuracy

Real-time Alerts

Blynk App

Email/SMS

ESP32 Core

Dual-core 32-bit LX6 microprocessor with ultra-low power consumption

Wi-Fi 4

BLE 5.0

Modern Technology Stack

Built with cutting-edge tools and frameworks for reliable water quality monitoring

ESP32-WROOM

Wi-Fi/BLE Dual-Core

Blynk IoT

Real-time Mobile

TensorFlow Lite

LSTM AI/ML

Arduino IDE

C++ ESP32

Modular Architecture

Scalable three-tier infrastructure for comprehensive water quality analysis

Edge Sensing Layer

Industrial IoT sensors collecting 15+ parameters at 5-second intervals

pH Monitoring TDS Sensors

Local Processing

ESP32-powered preprocessing with TensorFlow Lite for real-time analysis

50ms Response

Cloud Analytics

AWS IoT Core with predictive models processing 10,000+ data points/hour

85% Accuracy

Our Experts

Dedicated team combining IoT expertise with environmental science

Irfan Fathan M

Lead IoT Engineer

PhD in Environmental Robotics with decade-long experience in industrial sensor systems

15+

Years Combined Experience

50+

Completed Projects

10k+

Sensors Deployed

Real-time Water Analytics

Current Water Status

Turbidity

4.2 NTU