A social book review and discovery platform with real-time, personalized recommendations using FAISS and LDA. Built with Next.js, Tailwind CSS, and TypeScript.

A simple Book Recommendation System that suggests books to users based on similarity scores using content-based filtering. Built with Python, it helps users discover books they might enjoy by analyzing features like title, author, and genre.

an intelligent book recommendation system using llms and python. vibe code-free.

This project implements a book recommendation system using machine learning techniques. It helps users find books based on preferences, book ratings, and similarity measures.

A collaborative filtering-based book recommendation system that analyzes user ratings, computes similarities, and generates personalized book suggestions using Python and matrix techniques.

Preflexion

AI-powered book recommendation chatbot using IBM Watson Assistant 💬📚

End-to-end RAG system for intelligent book search and recommendations using LLMs, vector embeddings, and Qdrant.