Artistic Image Analysis and Recommendation System

This project aims to leverage advanced data engineering techniques to analyze and recommend artistic images based on user preferences. The system will incorporate machine learning algorithms to understand users' artistic tastes and provide personalized recommendations. The project involves the integration of large art datasets, data preprocessing for feature extraction, and the development of a recommendation engine.