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CompanybyteSmartDurationJune - August 2026TypeSummer InternshipRoleIoT & Physical AI EngineerShare

Hardware Architecture & Sensor Integration

To enable high-precision environmental tracking, the hardware layer pairs the Sensirion SEN55 environmental node with Arduino R4 microcontrollers. The SEN55 captures real-time concentrations of fine particulate matter (PM1.0, PM2.5, PM4, PM10), volatile organic compounds (VOCs), temperature, and humidity. Using I2C communication, the microcontrollers handle low-level data sampling and signal conditioning directly at the edge, providing a compact foundation for continuous indoor monitoring.

Grove SEN55 Environmental Sensor Module, AI generated

Data Pipeline & Event Streaming

The system uses a lightweight, event-driven messaging architecture to stream telemetry without blocking microcontroller operations. A custom event generator running on the Arduino R4 packages environmental measurements into formatted JSON payloads and publishes them across an MQTT broker. This setup maintains low network latency and ensures reliable transmission, even under varying network bandwidth conditions in enterprise environments.

Analytics & Live Visualization

The top layer of the pipeline features an interactive web dashboard that ingests live MQTT topics to display real-time air quality metrics. Raw sensor data transforms into visual gauge readouts, dynamic time-series charts, and automated threshold alerts for high particulate or VOC levels. This interface gives facility managers and engineers immediate visibility into environmental health and indoor air trends.