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Yashwanti Patil is the Co-Founder of blinkNbeat, Maharashtra, India. She is passionate about innovation, entrepreneurship, digital transformation, and startup development. Her professional interests include technology-driven business solutions and entrepreneurial education. She actively supports initiatives that encourage creativity and innovation among young learners.
This chapter provides an in-depth examination of machine learning methodologies for assessing entrepreneurial ambitions and innovation potential in young learners. It stresses the need to combine artificial intelligence, machine learning, and data-driven methods to change how schools work today. The conversation focuses on important frameworks, algorithms, and technological methods that make it easier to keep an eye on, forecast, and enhance student results. To make sure that the implementation is responsible, we carefully look at problems like data quality, scalability, privacy issues, and ethical concerns. There is also talk about how new technology may affect education systems that are equipped for the future. In general, this chapter shows how intelligent systems can fill in the holes in traditional education by providing scalable and creative solutions that boost performance, inclusivity, and long-term academic achievement in a variety of learning settings.