The goal is to design a graph neural network based recommendation system for scroll paintings (folk art) that can run on decentralized compute environments (such as peer-to-peer systems). Requires ability to understand and analyze machine learning problems theoretically, programming skills and performing extensive empirical analysis on a proprietary multi-modal dataset for art conservation.