A social book review and discovery platform with real-time, personalized recommendations using FAISS and LDA. Built with Next.js, Tailwind CSS, and TypeScript.
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May 12, 2025 - TypeScript
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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.
This project implements a book recommendation system using machine learning techniques. It helps users find books based on preferences, book ratings, and similarity measures.
Preflexion
End-to-end RAG system for intelligent book search and recommendations using LLMs, vector embeddings, and Qdrant.
an intelligent book recommendation system using llms and python. vibe code-free.
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