Recent research has identified key climate signals that can help forecast El Niño events up to a year in advance. Traditional physics-based models often struggle to predict these events during neutral Pacific conditions. However, machine learning and statistical forecasting approaches have shown promise in improving accuracy. This breakthrough could enhance India's ability to prepare for weather extremes associated with ENSO phases.