Scholarlink

Air Quality Index levels are deteriorating every day, since the rise of technology and science. Throughout the years, various measures have been taken to reduce this index value, but no effort has succeeded with absolute precision. Adding to this, calculating and accurately predicting the AQI value has been challenging and expensive. This project is developed keeping in mind the various hardships one faces when accurately predicting AQI, using a cheaper variant of micro-computer called Arduino Uno and sensors as input, and advanced deep learning algorithms for accurate prediction of AQI value with minimal loss. The pro- posed system is lightweight, scalable, and can be deployed in both urban and rural settings to provide real-time air quality insights.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Real-Time AQI Prediction Using Arduino Uno and Advanced Neural Networks

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Ayushman Dutta,
  • Ahan Ghoshal,
  • Ankush Dutta,
  • Anoushka Bhadra,
  • Saumi Sengupta,
  • Sudipta Sahana

摘要

Air Quality Index levels are deteriorating every day, since the rise of technology and science. Throughout the years, various measures have been taken to reduce this index value, but no effort has succeeded with absolute precision. Adding to this, calculating and accurately predicting the AQI value has been challenging and expensive. This project is developed keeping in mind the various hardships one faces when accurately predicting AQI, using a cheaper variant of micro-computer called Arduino Uno and sensors as input, and advanced deep learning algorithms for accurate prediction of AQI value with minimal loss. The pro- posed system is lightweight, scalable, and can be deployed in both urban and rural settings to provide real-time air quality insights.