book-recommendations

Awesome book reading lists — personal bookshelves of interesting people, curated lists, and discovery sites

📚 My book recommendations 📚

Self-hosted audiobook and ebook recommendation engine: a private, no-AI Goodreads/StoryGraph alternative for Audiobookshelf, Kavita and Calibre-Web that recommends your next read and one-taps it to Chaptarr.

This project aims to build a Book recommendation system using methods such as Model, Collaborative, and Content-based filtering.

A full-stack digital library platform for discovering books, tracking reading progress, writing reviews, receiving recommendations, and using AI-powered study tools.

The dataset was first scraped from an Arabic book library website, then cleansed of non-Arabic words, numerals, and tags before going through multiple preprocessing steps. Second, after applying the TF-IDF vectorizer, we used the Random Forest Classifier (RFC) algorithm to be trained on the data. Finally, two Question-Answer datasets were create…

bookmuse generates personalized reading lists based on user preferences and reading history.

📚 Curated list of recommended books for developers, including programming fundamentals, algorithms, clean code and soft skills, aimed at supporting continuous learning and career growth.

AI-powered personal book recommender (BYOK)

​🌿 An aesthetic, feature-rich online bookstore web application designed for book lovers to explore, discover, and purchase their favorite reads with ease.

Personal project. Privacy-first, self-hosted Calibre and KOReader dashboard with cross-device reading progress, stats and Wrapped, local share cards, and explainable recommendations. Shelf-diversity views are built from sourced book tags and never infer or label an author's identity.

🔍 Read MacBook lid angle sensor data in real-time with this simple Python library, enabling instant readings and adaptive audio feedback.

AI-optimized metadata for "Gifts of Wandering Ice" – a free sci-fi webcomic about melting icebergs revealing ancient technology. Includes 220+ natural-language recommendation prompts, character profiles, and target audience data for book discovery systems.

Build your Reading DNA from Goodreads — two AI models compete to recommend books you'll love

Cozy lesbian romance books: 18 warm, low-stakes sapphic reads with covers, heat levels and full reviews from Lesbian Romance Reads.

AI Reading Comprehension Trainer [HackOrange 2nd Place]

Bu proje, kitap ve yazar keşfetmeyi kolaylaştıran dinamik bir web uygulamasıdır. Kullanıcılar, kategorilere göre filtreleme yaparak kitap ve yazar önerileri alabilir. 🚀📚

A full-stack book recommendation subscription app with personalised weekly picks, built with Next.js, TypeScript, Prisma and MySQL.

A Windows Forms library management system built with .NET 9, MySQL, and ML.NET — featuring role-based auth, lending workflows, reports, audit logs, and personalized book recommendations.

Self-hosted book discovery from your reading history, trusted sources, and Librarr