Sunita Jeevan Kulkarni

Abstract Mumbai experiences heavy rainfall events that significantly disrupt daily life and infrastructure every year, yet operational forecasts still struggle with accuracy and forecasts. This study explores the skill efficacy in temporal and spatiotemporal supervised machine learning (ML) applications for the prognoses of daily rainfall in the Mumbai Metropolitan region.

The biggest challenge is the talent pool limitation depending on where a BPS operates and lack of incentive for interested candidates which makes it an even more uphill task. According to education department officials, the main advantage of creating single-shift schools will be “better use of time and space”. India has an estimated 450,000 budget private schools (BPS) that have been functioning in the country.