The project develops a low-cost, multi-parametric atmospheric monitoring system to address spatial variations in air quality that single-point centralized systems miss. The solution uses a wireless mesh network of distributed ESP32 microcontrollers integrated with BME680 and MQ135 sensors. The technology stack includes C/C++ embedded software, ESP-MESH networking, and a Python-based desktop monitoring application with an interactive Tkinter graphical interface. The system successfully reduces dependence on centralized infrastructure by enabling multi-hop self-healing communication. Quantitative achievements include real-time aggregation of temperature, relative humidity, atmospheric pressure, and Indoor Air Quality (IAQ) indexes with minimal latency. The implementation of full-stack data routing ensures reliable sensor telemetry is continuously parsed and visualized.
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J. et al. (2026) studied this question.
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