Traditional education systems predominantly follow a one-size-fits-all teaching approach, which fails to accommodate the diverse learning abilities, cognitive styles, and paces of individual learners. With the advancement of Artificial Intelligence (AI), intelligent tutoring systems have emerged as a promising solution to personalize education at scale. This paper presents Learnify AI, an intelligent personalized learning tutor that employs adaptive learning algorithms, knowledge graph-based concept modeling, emotion and attention detection, and AI-driven content generation to deliver customized learning experiences in real time. The system continuously analyzes learner performance, engagement patterns, and behavioral signals to dynamically adjust learning paths, instructional strategies, and revision schedules. Experimental analysis and system evaluation indicate that Learnify AI enhances learner engagement, improves knowledge retention, and provides actionable insights to educators, thereby making it suitable for deployment in modern smart education environments.