The Powerful NFT Minting System For Starry Trainee Project
About The Clients
NFT Art & Assets is a Japanese technology company specializing in planning, managing NFT projects; assisting artists in their sales plan on the NFT market; issuing NFT by license agreement with IP holders.
Their latest project called Starry Trainee is a generative collection of 10,000 unique 1/1 NFTs on the Ethereum Blockchain. This is an attempt to automatically generate images of two-dimensional girl characters -“Bishojyo”, that Japan is proud of, by using AI technology. With GAN technology integrated that applies deep learning as its core, they were able to take a big step into the unexplored territory of humankind.
The Challenges
In the process of building the Starry Trainee project, NFT Art & Assets faced the challenge of building one of the core functions – a system that is capable of minting 10,000 NFTs.
As a close and valued client of Ekoios, NFT Art & Assets’ Representative Director Akihisa Ishida has placed high confidence in our work quality and cooperated with us to develop the minting system for its Starry Trainee project.
The Solutions
After determining the client’s specific needs, we have designed a specialized minting system for this 10,000 NFTs project using three main technologies: service server API, service worker, and service IPFS.
Furthermore, our system can help generate 6 random images automatically and users can select and mint the character they want as NFT.
The Results
Owing to Ekoios’s extensive knowledge and experience in developing and delivering white-label blockchain solutions, we have managed to deploy a minting system that can generate a 10,000 NFTs collection within 1 month only.
Integrated with perfectly functional systems and technology, the Starry Trainee project is now on air and ready for users to buy the unique and exciting NFTs. At the price of 0.05 ETH per trainee NFT, Ekoios has contributed to helping NFT Art & Assets launch a project with a total value of 500 ETH, which is over 1.6 million USD.
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