Abstract: As the world's population gets more urbanised, many of the fastest-growing cities are experiencing worsening air quality. According to a study, ambient air pollution concentrations are at a level where significant health consequences have been observed in 20 out of the 24 global megacities. Although it is commonly known that air pollution can have a substantial negative impact on agriculture, urban growth, and public health, there are evident gaps in the methods used by existing approaches to collect reliable data on air pollution.

Keywords: Convolutional Neural Network, AQI, ResNet-50, and air pollution levels

Cite: D. Tejaswi, V. Manjusha, M. Yamini Parvathi, S. Chandana Lakshmi Priya,"AIR POLLUTION DETECTION USING DEEP LEARNING", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11327.

| DOI: 10.17148/IARJSET.2024.11327