• Mr. Colin Maclas Gonsalves
• Dr. Prashant Nitnaware

Covid 19 being the global pandemic, it has become an absolute necessity to make sure the epidemic is controlled and the state of the world with respect to health, finance and livelihood come to a better position. The motive of this research aims to contribute towards achieving this state. Every Local Body/Municipality, of a country, needs to be well equipped with the best technology available. Machine learning will play an important role to help Local Body/Municipality predict the trend of Covid19 cases based on the figures collected in their area. This tool will help the Local Body prepare for medical facilities, Administrative decisions and Citizen lifestyle. Making use of five ML algorithms, namely, Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), FB Prophet, Linear Regression (with FB Prophet) and Random Forest (with FB Prophet). Visualizing the trend on graph, testing the prediction against actual, ruling out the better suited algorithm and using the best of five to predict the coming days.

"Proposed System for Prediction of Covid-19 Cases Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.a512-a517, October-2021, Available :http://www.jetir.org/papers/JETIR2110063.pdf

"Proposed System for Prediction of Covid-19 Cases Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppa512-a517, October-2021, Available at : http://www.jetir.org/papers/JETIR2110063.pdf