EcoSphere AI

A smart environmental monitoring system powered by predictive AI models.

TensorFlowIoTNext.js

Client Requirements

Real-time monitoring of air and water quality across 50+ city zones.
Predictive modeling to anticipate pollution spikes 24 hours in advance.
Scalable infrastructure to handle 1M+ data points daily.

Strategic Planning

We designed a distributed sensor network architecture integrated with a cloud-native Kafka pipeline for data ingestion. The AI model was trained on 5 years of historical climate data using a hybrid LSTM-CNN approach.

Solution Implementation

Custom IoT sensor firmware with edge-computing capabilities.

Real-time dashboard with React and D3.js for data visualization.

Automated alerting system via WebSocket and Push notifications.