About the Project:
Airguard Health is a real-time environmental monitoring platform that processes air quality data from distributed IoT sensors. We built a high-performance data visualization hub that delivers instant insights and automated alerts for health and safety teams.
The Challenge
The client needed a platform capable of processing high-volume data streams from 10,000+ IoT sensors with sub-100ms response times — while rendering complex real-time visualizations without latency or data loss.
Our Solution
We engineered a real-time IoT data platform using JavaScript and D3.js for complex data visualization, WebSockets for live data streaming, MQTT for IoT device communication and AWS Lambda for serverless data processing. The system delivers real-time air quality alerts and automated reporting.
Technical Specifications
- Tech Stack: JavaScript (D3.js), WebSockets, MQTT, AWS Lambda
- Low-latency rendering of complex real-time data streams
- MQTT protocol for IoT device communication
- Serverless architecture via AWS Lambda
Results
- Real-time alerts with sub-100ms response time
- Under 1 second real-time data synchronization latency
- 40% reduction in manual report generation
- 10,000+ connected IoT monitoring devices supported
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