Price protocol

Screenshots

Problem Statement

As an independent or early-stage artist, the issue with starting to sell NFTs is deciding the right listing price. The project estimates the price using 3 main features that include,Analysing the music NFTMinters ReputationCurrent Market These 3 features are benchmarked with respect to current market trends to predict the optimum listing price. This can grow itself as part of NFT tooling or can be built upon for a music nft protocol.

Solution

The project currently is only done on the front end using react js and Chakra UI. Using Zora ZDK to get the number of NFTs from the user's wallet and the web3modal for connecting the wallet. For sound feature extraction, Meyda was used namely for extracting Chroma and RMS as the key features. Usign coingecko we fetch the current ETH price. And based on these parameters we predict.