The rapid evolution of artificial intelligence has revolutionized multiple domains, with education among the most promising beneficiaries. In the context of competitive exam preparation, candidates often struggle with overwhelming syllabi, uneven learning progress, and generic study materials that fail to adapt to individual needs. Traditional learning platforms typically provide standardized content without assessing user proficiency or adjusting to personal learning pace, resulting in inefficiency and low retention rates. To address these challenges, this research proposes an AI-powered, personalized exam preparation assistant that intelligently adapts to each learner’s requirements using machine learning.