Open-source FastAPI recommendation engine for books โข backend architecture โข data handling โข scalable systems
-
Updated
Jun 17, 2026 - Python
Open-source FastAPI recommendation engine for books โข backend architecture โข data handling โข scalable systems
NovelNudge is a book recommendation engine that embeds titles, descriptions, authors, and genres using SentenceTransformers. It combines these vectors and ranks similar books with cosine similarity and fuzzy title matching.
Hybrid book recommendation system using NLP (TF-IDF, cosine similarity) and collaborative filtering (SVD) to generate personalized book suggestions with high accuracy. Includes full EDA, model evaluation.
AI-powered book recommendation chatbot using RAG pipeline Flask ยท Pinecone ยท LLaMA 70B ยท MiniLM ยท Claude API
A social book review and discovery platform with real-time, personalized recommendations using FAISS and LDA. Built with Next.js, Tailwind CSS, and TypeScript.
Book recommendation system using machine learning and similarity algorithms to deliver personalized suggestions.
๐ A Book Recommendation System built with Python, Flask, and machine learning. It suggests books based on user preferences using collaborative filtering and popularity-based models.
A collaborative filtering-based book recommendation system that analyzes user ratings, computes similarities, and generates personalized book suggestions using Python and matrix techniques.
Flask + MongoDB book recommendation app powered by an Apache Airflow Apriori pipeline
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.
Maven Analytics Goodreads Challenge Submission
AI-powered book recommendation chatbot using IBM Watson Assistant ๐ฌ๐
A high-performance collaborative filtering book recommendation system using Scipy sparse matrices and Cosine similarity.
Preflexion
Kids app to check if a book is appropriate for their age
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.
๐โจ ๋ ์ ๊ฐ์์ AI๊ฐ ๋ถ์ํด ๋น์ทํ ๋ถ์๊ธฐ์ ์ฑ ์ ์ถ์ฒํด์ฃผ๋ ๋ชจ๋ฐ์ผ ์ฑ โ pgvector ์๋ฒ ๋ฉ ร ์นด์นด์ค ๋์ ๊ฒ์ ํ์ด๋ธ๋ฆฌ๋ ๐ค๐
AI-powered book discovery and chat application built with ASP.NET Core 8 and Google Gemini API. Features include AI chat for book recommendations, Google Books search, user authentication, and chat history.
Add a description, image, and links to the book-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the book-recommendation topic, visit your repo's landing page and select "manage topics."