Since the first instance was reported on January 30, 2020, India has seen a steady increase of Covid-19 cases, which has had a significant impact on stock market indices. This research examines the effects of the Covid-19 epidemic on the stock market. The Extreme Learning Machine (ELM) approach has been utilized to assess the influence of innovative Covid-19 on the Indian Stock Market, owing to the growing significance of machine learning techniques over the past few decades. The suggested Extreme Learning Machine (ELM) approach has been utilized to anticipate future stock market movements and assess the effects of the lockdown and Covid-19 on the Indian stock market. Additionally, the model’s performance has been assessed using metrics such as RMSE, MAE, MAPE, and R2 score, and it has been contrasted with other conventional machine learning techniques. The results of the investigation indicate that compared to other machine learning techniques, the suggested ELM strategy performs better in evaluating the effects of Covid-19 and the lockout policy on the Indian stock market.