Thaduri Divya, M.Rajeshwar Reddy, R.Gowthami 02 7(1) Income inequality remains one of the most pressing socioeconomic challenges in India While India has made remarkable progress in various development indicators over the past few decades the economic benefits have not been equitably distributed across different sections of society A complex interplay of structural historical and policyrelated factors contributes to persistent disparities in income across caste gender religion region and educational backgrounds This study aims to investigate the depth determinants and dynamics of income inequality in India by combining traditional economic analysis with modern computational tools such as Machine Learning ML and Deep Learning DL We use a comprehensive dataset drawn from national surveys and government records to analyze income distribution and socioeconomic correlates Statistical tools regression analysis clustering and neural networks are applied to model and interpret the inequalities The novelty of this study lies in its interdisciplinary approach where we integrate Artificial Intelligence AI techniques with socioeconomic theory to simulate realworld scenarios and forecast future trends in inequality By training ML algorithms on demographic and economic data we identify key predictors and build forecasting models We also use DL models for understanding nonlinear relationships imagebased poverty mapping and timeseries projections Our findings can aid policymakers economists and technocrats in designing datadriven inclusive and sustainable solutions to curb income inequality in India Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026