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.

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An AI-powered book recommendation engine using LLMs, embeddings, and vector search for semantic content matching.

AI-powered book recommendation engine that uses LLM for emotional analysis to match users with books based on their feelings and emotional needs rather than traditional genres.

BookVe is a reading tracker web app that lets users log their reading progress, take notes, and get AI-powered book recommendations—all without needing an account. It uses a session-based system stored in the browser, integrating book, manga, and webnovels! Utilizes a LLM powered recommendation engine