We forecast the future trajectories associated with COVID-19 for the coming days in India using Auto Regressive Integrated Moving Average model (ARIMA), Curve (Spline) fitting, Logit Model and modified SIR (Susceptible, Infected and Removed) based pandemic model. Also, we compare these models and explain the necessary conditions that need to be satisfied (via normalization techniques) to minimize modelling violations. The short term forecasts obtained so far have been highly accurate.