This project leverages Generative AI to build an advanced book recommender system. By integrating transformer models , the system generates personalized book recommendations based on user preferences.
This Generative AI-based system provides personalized book recommendations by analyzing user preferences and book content. It uses transformer-based language models to understand book descriptions, reviews, and metadata, enabling highly accurate and context-aware suggestions.
To create a cutting-edge book recommendation system that: Generates context-aware and diverse book recommendations.
Generative Capabilities:
- Generates personalized summaries or reasons for each recommendation.
- Programming Language: Python
- Tools:
- Jupyter Notebook for development.
- Streamlit for deployment.
- Visit the live app: Book Recommender System