Artistic Image Analysis and Recommendation System
Kavya Gajjala
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.
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Posted Jan 30, 2024
Designed robust data pipelines, enabling efficient collection, processing, and analysis of art-related data for informed insights and decision-making
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