Machine learning (ML) including artificial intelligence (AI) has untouched educational institutions in a big way. They can create flexible educational platforms that give every student a different way to learn. It is one of the types for understanding that can be implemented into practice according to evidence, allowing each student to tailor the topic, understanding, and test rate while still making sure that learning is done consistently and improved. Conditions for implementation: Accurately are the actual conditions like while a program is running? In the day to day life, it keeps on organizing. SDG 4 conditions that make sure everyone has access to better schools that fit their needs. SDG 10 is about making geography, schooling, and earnings equal for everyone. This can be done by using AI to optimize SDOH in the context of the automated United Nations Sustainable Development Goals (SDGs) customization. The article talks about the application of AI and machine learning to intelligent education, such as suggestion engines, prediction evaluation engines, and intelligent tutoring. It also talks about how gadgets can help everyone get higher quality education. Additionally, it discusses policies, facilities, as well as moral issues like technique bias, technological gaps, as well as privacy of private data that could make it more difficult to grow. The paper suggests that, depending on the evaluation of novel research and best practice-based techniques, AI-supported adaptive learning can significantly contribute to an equitable and inclusive educational system, empowering diverse learners and addressing global structural gaps.