Leveraging AI to Analyze the Socio-Economic Impact of Covid19 in India

Status: Completed

Project Duration: 10 Jul 2021 - 10 Sep 2021

Open Source resources available from this project

Project background.

The economic impact of the COVID-19 pandemic in India has been largely disruptive. According to the Ministry of Statistics, India’s growth in the fourth quarter of the fiscal year 2020 went down to 3.1%.

If we could map the shortage and unavailability of vaccines across various states in India vs the wastage of vaccines across the country, this could help in increasing the efficiency of the vaccination. The current total vaccinated Indians across the whole country(shown below), (by our World in data)

A large proportion of the covid19 mortality rate in India is because of failing to early identify the presence of coronavirus and its symptoms. Identifying symptoms of Covid19 and mapping its severity level not only help diagnose the viral disease faster and efficiently but also help to reduce the mortality rate by getting med location much sooner.

Project goals.

Our goal is to build a model to analyze and model the change in economic trends over the past couple of years in India due to the outbreak of Covid and correlate various factors that contribute to the rise and fall of the economy in India. The NLP-based model could then be used to predict the change in future trends in the economy based on these factors. Our goal is to build a model to analyze the sentiment of people which is modeled from the historical data which could then be used to predict the real-time sentiment and the factors contributing to that sentiment when a potential third wave or a new outbreak in the society happens.

Other objectives include building computer vision models to early detect the presence of covid through X-ray images or CT scans and classify the severity of Covid-19.

The project will be made open-source and the results obtained can help create awareness about the spread of Covid19 and its impact on the Indian economy.

The final tracker and the dashboard made can be used as a tool to track vaccine availability across various states.

Project plan.

  • Week 1

    – NLP text Preprocessing
    – Twitter Hashtag extraction
    – Image preprocessing

  • Week 2

    – Exploratory Data Analysis(EDA)
    – Interactive plots with Real-time data
    – Interactive map vaccination tracker
    – Classification model based on covid symptoms

  • Week 3

    – Sentiment Analysis Model
    – Image Classification model based on symptoms
    – Start building Streamlit WebApp

  • Week 4

    – Finish Integrating WebApp
    – Deploy the App in Cloud Application Platforms

Learning outcomes.

1. Data Pre-processing.

2. NLP-based EDA.

3. Developing and Deploying Dashboards.

4. Time Series Forecasting.

5. Sentiment analysis.

6. Computer vision and model building.

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