AI for Preventing School Dropout in Rural India: A Data Driven Approach to Educational Equity

School dropout in rural India is a persistent challenge influenced by socio-economic factors, poor infrastructure, and lack of early intervention. This paper explores how Artificial Intelligence (AI) can be leveraged to predict and prevent school dropouts by analysing data related to student behaviour, academic performance, attendance, and socio-economic background. We examine existing AI applications in education, present a conceptual AI framework tailored for rural schools, and propose a model for community-based implementation. The aim is to enhance educational continuity, reduce dropout rates, and support India’s pursuit of inclusive and equitable quality education.