Semantic Book Recommender System is an end-to-end intelligent recommendation engine built using Large Language Models (LLMs), vector embeddings, and Python. The project demonstrates how modern NLP techniques can be combined to deliver highly accurate, context-aware book suggestions based on meaning rather than simple keywords.