Semantic Book Recommender using LLMs

An AI-powered recommendation system that matches books to users based on descriptions, categories, and emotional tones. Built with LangChain, Hugging Face embeddings, and Chroma vector database, the system performs semantic search over preprocessed book metadata and emotion scores. A Gradio-based interactive dashboard allows users to explore personalized recommendations with book covers, authors, and descriptions in a gallery format.