Adaptive Book Recommendation and Rating Prediction System

Using NLP and Machine Learning

Project Overview

This project uses natural language processing and machine learning to recommend books and predict user ratings. We analyze book descriptions, features, and metadata to build a system that can help readers discover books they may enjoy.

Project Poster

You can view the full research poster below.

View Poster (PDF)

Authors

Destiny Raburnel
Data Engineer, Graduate Student
Email: draburne@students.kennesaw.edu
LinkedIn
Co Author Name
Graduate Researcher
Email: coauthor@students.kennesaw.edu
LinkedIn

GitHub Repository

The code and notebooks for this project are available on GitHub.

GitHub Repository

Contact

For questions or collaborations, feel free to reach out by email.