Air Miner

Air miner gathers live data about the carbon monoxide indoors. It significantly reduces the chances of residents contracting respiratory disorder owing to its proactive alert systems. It utilizes the NodeMCU (ESP-8266) for the smaller-scale micro-controller board to interface with the gas sensors, Django for the front end web interface, and Python in the backend for systematic AI. A comprehensive indoor air monitoring and analysis system shall serve like a fitness tracker for your house. This system will proactively alert users if it can predict a rise in the concentration of gas levels. The primary purpose of ‘air miner' is to alert users proactively about a probable surge in the concentration of carbon monoxide. Along with this, it will give a complete analysis of the similar metrics. Air quality monitoring system for city uses multiple sensors with location co-ordinate. AQI LED indicator is actuated as per pollution level, and the real-time pollution level is visualized using the line graph.

• Publication year

  2022

• Venue

  Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

• Publication date

  Unknown publication date

• Fields of study

  Not labeled

• Identifiers
  DOI 10.4018/978-1-7998-8786-7.ch016
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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