  Background: The ongoing COVID-19 epidemic dilated rapidly throughout India.
To end the global COVID-19 pandemic major behavioral, social distancing,
contact tracing, and state interventions has been undertaken to reduce the
outbreak and avert the persistence of the coronavirus in humans in India and
worldwide. In absence of any vaccine or therapeutics, forecasting is of utmost
priority for health care planning and control the transmission of COVID-19.
  Methods: We have proposed a mathematical model that explain the transmission
dynamics of COVID-19 in India. Based on the estimated data our model predicts
the evolution of epidemics and the end of SARS-CoV-2 and aids to evaluate the
influence of different policies to control the spread of the diseases.
  Findings: With the real data for infected individuals, we find the basic
reproduction number $R_0$ for 17 states of India and overall India. A complete
figure is given to demonstrate the estimated pandemic life cycle along with the
real data or history to date. Our study reveals that the strict control
measures implemented in India substantially mitigated the disseminate of
SARS-CoV-2. Importantly, model simulations predict that 95% reduction of
outbreak on June 26, 2020 and 99% reduction of outbreak on July 26, 2020 in
India.
  Interpretation: Our model simulation demonstrates that the community-wide
elimination of SARS-CoV-2 is possible by mitigating the social distancing and
use essential precautions. Lockdown can be implemented strictly to prevent the
human-to-human transmission of COVID-19. The model-based and parameter
estimation of epidemic life cycle, and end dates, if can be done precisely, may
decrease distress and over optimism and develop the mentality for all of us for
the next stages of the outbreak evolution.
