📚 My book recommendations 📚

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

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.

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

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

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.