📚 My book recommendations 📚

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

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

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…

AI-powered personal book recommender (BYOK)

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

BookLab MCP Server — curated nonfiction book recommendations for AI agents. 21 books, 5 tools, affiliate links. First book-focused MCP server.

📚 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-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.

AI-powered library book recommendation system built with React, AWS Lambda, DynamoDB, and Bedrock (Claude 3 Haiku)

Grimoire Guide is a book recommendation system which leverages statistical machine learning and NLP concepts to recommend the best books to the users. Just provide a plot or description, and it will do the rest of the job for you.

📚 Generate personalized book recommendations based on your reading preferences and history with bookmuse. Discover your next favorite read effortlessly.

📊 Streamline your webhook data collection with this FastAPI server that converts incoming JSON payloads into CSV files effortlessly.