Identifying the Severity of Cough Due to Air Pollution in New Delhi using Audio Analysis and Machine Learning

Local Chapter New Delhi, India Chapter

Coordinated by ,

Project background.

According to the latest AQI report, Delhi is the second most polluted city on this planet. The respirable suspended particulate matter (RSPM) in the New Delhi’s air is touching 250 micrograms per cubic meter ((μg/m3), four times the prescribed level, while the concentration of nitrogen oxide (NOx) is 50-55 μg/m3 – way above the permissible upper limit of 40μg/m3.

As a result, the pollution level in Delhi today is as bad as it was in the pre-CNG days, exposing residents to serious health problems such as respiratory and pulmonary diseases.

High Respiratory Symptoms have been noted in 32% of children examined in Delhi compared to only 18.2% of rural Children. The Symptoms are higher during winter.

Lung function has reduced in 43.5 percent of schoolchildren, and deficit hyperactivity disorder is 4.1 times higher among schoolchildren of Delhi than in the rest of India.

The city’s poor quality air damages irreversibly the lungs of 2.2 million or 50 percent of all children.

Project plan.

  • Week 1

    Research on audio analysis using machine learning and understanding cough severity levels.

  • Week 2

    Data Collections
    According to our research, there is data available because of Covid research.

  • Week 3

    Exploratory Data Analysis

  • Week 4

    Data preprocessing and augmentation

  • Week 5

    Model Development and Training

  • Week 6

    Model Deployment and API creation

  • Week 7

    Web Portal creation

  • Week 8

    Making the Web Portal Live and testing it live

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