Description

In recent years, the met averse and the block chain technology that underpins it have received a great deal of attention. How to mine, analyse, and examine the vast amounts of data produced by the metaverse systems has presented many difficulties. To overcome these, we primarily concentrate on modeling and structural knowledge of the blockchain transaction network identification perspective, which embodies the network as a whole framework and demonstrates the connections between various things. That isIn this article, we examine three systems connected to the metaverse: non-fungible Bitcoin (BTC), Ethereum (ETH), and the NFT token the structural-identity viewpoint. In Our designed project is designed to find the prediction of the cryptocurrency value for the future by using the LSTM. The outputs are calculated by using the model LSTM finally calculate the accuracy, loss as well as the prediction of the future days.