• Student VEMURI VENKATA LALITHA SRIRAM
  • Code PGE21355
  • Faculty Technology
  • Tutor/s Dipak Samal,Dhwanilnath Gharekhan

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Air quality of Delhi is far higher than stipulated Air Quality Index Standard (ASI) prescribed by India. To that extent the Particulate Matter (PM) is the chief contributing pollutant in the city. This study aims to model and predict PM2.5 and PM 10 concentrations using various mateorological parameters through machine learning algorithms of Artificial Neural Networks (ANN) and Long Short-Memory Algorithm (LSTM) thus understanding the impact of land cover on PM concentration.