At the point when the global pandemic hit, we saw one of the greatest monetary accidents in late history. With crashes in the securities exchange and irregularities in all business sectors and ventures, one thing that never appears to change is the increment in worth of homes. This pandemic had made the land area take a significant misfortune. The sentiment scores of the real estate partners had arrived at an unequalled low score of 31. The crash of the real estate put many companies and brokers into bankruptcy. People stopped investing in real estate while others withdrew any sort of the ongoing investments. The conditions worsened with the second wave. The second wave, unlike the first, had a significantly higher death rate and spread very quickly instilling fear in the minds of the people. This became a factor in the huge economic crash that this pandemic has provided. The government has been desperately looking for measures to come back stronger but have failed. This called for research into this domain and start predictions with various models to help prepare for any foreseeing losses/crashes. Within the past 10 years, the housing market has gotten more and more modest with houses that used to be affordable being valued at absurdly high amounts. This increase in value has seen a reduction in home proprietorship percentage in proportion to populace of the country. Our project aims to project values for real estate in the absence of covid. The difference in values are analyzed and generalized. Furthermore, solutions to improve the current condition will also be given.
Keywords: COVID-19 pandemic; Correlation; K-means clustering; Linear regression; Real estate.
© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022.