The Book Recommender is a project currently in the development phase.
It aims to recommend books by combining vector-based search with NLP models for deeper understanding of text and user preferences.
Key features being developed:
- 📖 Vector Database with ChromaDB for efficient semantic book search.
- 🏷️ Text Classification to categorize books into appropriate categories.
- 😊 Sentiment & Emotion Analysis using the free model
j-hartmann/emotion-english-distilroberta-base.
- Python 🐍
- ChromaDB (vector database)
- Transformers (Hugging Face) 🤗
- NLP models for classification & sentiment analysis
This project is still under active development.
Features may change and break frequently until a stable release is published.
This project is licensed under the MIT License.