This paper explores the integration of machine learning with green hydrogen production to address India’s growing energy demands, climate goals, and vision for Viksit Bharat 2047. By combining renewable energy sources with advanced machine learning models, the study aims to optimize hydrogen production processes, enhance efficiency, and reduce costs. The research leverages published frameworks to forecast renewable energy availability and applies Artificial Neural Networks (ANNs) and other predictive algorithms to green hydrogen production. Key findings highlight green hydrogen’s potential to decarbonize critical sectors. While contributing to Sustainable Development Goals. The paper concludes that green hydrogen, empowered by machine learning, offers a transformative solution for India’s energy transition, fostering economic growth, sustainability, and global leadership in clean energy innovation by 2047.