AI-Supported Solution for Proposal to Improve Indoor Air Quality Using Web Application and Airthings Radon Detector




Abstract:
The device called View Plus Radon Detector made by Airthings, allows measuring indoor air quality parameters. Measurement results can be accessed through the purpose-built online platform – Airthings Dashboard. The Airthings Consumer API enables our custom-made web application to retrieve the results of the latest measurement. The question arises of how to mitigate the effects of poor air quality parameters.We propose the use of a web application called Air Quality - AI mitigation advisor. After retrieving the results of the latest measurement, this web application can send these results for assessment to artificial intelligence. AI has the ability to suggest a sorted list of devices with brief explanations or means to improve air quality in the room where the measurement is taken based on the sent question and air quality parameters.In our work, we provide a description of the system used. We also describe and present the results of an experiment that combines the capabilities of the View Plus Radon Detector, the web application, AI, and statistics with the aim of providing device and means recommendations for improving air quality in the room where the measurement is taken after a series of measurements.

CITATION:

IEEE format

. Eremić, I. Borjanović, “AI-Supported Solution for Proposal to Improve Indoor Air Quality Using Web Application and Airthings Radon Detector,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 25-30. doi:10.15308/Sinteza-2024-25-30

APA format

Eremić, ., Borjanović, I. (2024). AI-Supported Solution for Proposal to Improve Indoor Air Quality Using Web Application and Airthings Radon Detector. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-25-30

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