Introducing Graphyti, the first game in the world to allow the creation of personalised physics through generative AI and blockchain.
With generative AI currently focused on the rendering of visually striking images, our team proposes an idea built on Unity that goes beyond the current concept of image generation to instead allow users to customise even the physics itself. In our product, we hope to allow users to personalise their own 3D world with its own unique physics from scratch, using a series of text and image prompts.
To support the development of our project, we have devised a create-to-earn model (C2E), the first of its kind and a twist on the P2E model. The C2E model proposes the creation of a physics ledger securely stored on Algorand's blockchain, where people's new physics ideas can be converted into NFTs. We hope to reward players Algo tokens through cohesive community votes on top physics NFTs that can be migrated to other players' games.
The combination of physics personalisation and our all-new C2E model promises to change the very definition of NFTs itself, which has traditionally in web3.0 been only limited to images.
More than just a functional economy, Graphyti aims to be a new way of socialising between Web3.0 users through physics NFTs.
Github Repo: https://github.com/howllian27/Graphyti
White Paper (Civil Engineering Use Case): https://howllian27s-organization.gitbook.io/graphyti/
Demo Video: https://youtu.be/QmGae7A_Sec
Pitch Deck: https://drive.google.com/file/d/14a-s2STcMnTw3KyGkAYgSfmdfLFoIL_b/view?usp=sharing
