<p>Smart Education System-based Search Engine is developed to enhance the search experience for students, learners and teachers. The main objective of this system is to deliver an optimized, personalized, and trustworthy search experience mainly to the educational domain. To achieve this, we integrated methods such as a Python-based Scrapy web crawler, Natural Language Processing techniques, semantic vector matching using BERT, and a dynamic ranking strategy with real-time engagements like Click Through Rate, Dwell Time, and Bounce rate. A sharded database architecture ensures scalability and efficient parallel search processing. To improve the visibility of prominent content, we implemented the very efficient PageRank Algorithm addressing the specific needs of educational contexts. Additionally, it includes a content-based summarizer displayed at the top of the Search engine results page (SERP), providing users with a quick introduction and insights about the given topic. Through this combined approach, our specialized search engine provides more accurate, relevant, and high-quality results than traditional systems, ultimately supporting improved learning outcomes. To validate the theoretical foundation, the proposed Smart E-learning SEO framework was deployed and evaluation metrics like Percison@5, Session Completion rate, and User Satisfaction showed significant improvements of 27.7%, 33.3% and 24.4% respectively over the Traditional System, highlighting its effectiveness and potential to enhance real-world educational resources.</p>