Neura NFT : Generating AI NFTs

Project Name: Neura NFT

Project Goal

NeuraNFT is a platform built on the Tron blockchain that aims to tokenize intelligence. Its fundamental goal is to create a decentralized, secure, and fair AI ecosystem. The project’s key functionalities include:

  1. Creating NFTs that represent AI models and data
  2. Implementing a sophisticated permission management system for granular control over access and usage rights
  3. Enabling secure storage of encrypted data on BTFS (BitTorrent File System)
  4. Providing controlled access to models and data based on predefined permissions
  5. Facilitating secure model deployment and inference
  6. Offering a marketplace for AI models and data

The project’s architecture involves smart contracts, BTFS storage, balancer nodes for access verification, and a frontend and backend system to manage user interactions, signature verification, and model deployment.

NeuraNFT addresses several challenges in the current AI ecosystem:

  1. Lack of control and fair compensation for data owners
  2. Difficulties for independent creators in monetizing their AI innovations
  3. Limited data control and high costs for end users
  4. Value extraction by centralized hosting platforms
  5. Lack of trustworthiness due to reliance on centralized authorities and opaque processes
  6. Corporate hesitation to use centrally deployed models due to data privacy concerns
  7. IP infringement risks for model owners when hosting on client servers
  8. Limited true ownership and transferability of AI assets
  9. Inefficient resource management for personalized AI

By providing a decentralized platform with granular permission controls and secure data storage, NeuraNFT aims to create a more equitable, transparent, and efficient AI ecosystem.

Key features of NeuraNFT include:

  1. NFT creation for AI models and data
  2. Granular permission management
  3. Secure, encrypted data storage on BTFS
  4. Controlled access to models and data
  5. Secure model deployment and inference
  6. A marketplace for AI models and data

By providing these features, NeuraNFT enables data owners, model creators, and users to interact within a secure, transparent, and fair ecosystem. The platform offers robust mechanisms for monetization, ownership transfer, and secure deployment of AI models and data, addressing many of the shortcomings present in the current AI landscape.

Its Architecture

The NeuraNFT architecture is designed with security, scalability, and user control at its forefront. It consists of several key components that work in tandem to provide a comprehensive solution for AI asset management and deployment.

The core components include:

  1. Smart Contracts: These form the backbone of the system, handling NFT creation, ownership management, and permission controls.
  2. BTFS: Utilized for secure storage of encrypted data and RAG (Retrieval-Augmented Generation) models.
  3. Balancer Nodes: Responsible for verifying access requests, ensuring only authorized parties can interact with the models and data.
  4. Frontend: Provides user interaction and handles message signing for verification purposes.
  5. Backend: Manages signature verification, permission checks, data decryption, and model deployment.

image

The operational flow within the NeuraNFT ecosystem is as follows:

  1. A user creates an NFT using the smart contract, representing their AI model or dataset.
  2. The owner can then grant varying levels of permissions to other users.
  3. When data is uploaded, it is first encrypted and then stored on BTFS, with the corresponding links updated on the frontend.
  4. For access requests, a balancer node sends a verification message.
  5. The frontend signs this message and sends it to the backend for processing.
  6. The backend verifies the signature and checks the permissions stored in the smart contract.
  7. If the permissions match the requested operation, the data is decrypted and provided, or the model is deployed for inference as appropriate.

This architecture ensures a secure, decentralized approach to AI asset management and utilization, addressing many of the concerns present in centralized systems.

Smart Contract Architecture

Kindly open the image in a new tab to see in detial
Smart Contract Architecture

Technologies Used

NeuraNFT leverages a stack of cutting-edge technologies to deliver its functionality:

  1. Tron Blockchain: Forms the foundation of our decentralized system, providing a fast and cost-effective network for our smart contracts.
  2. Smart Contracts (Solidity): Used to implement the core logic of our NFT and permission systems.
  3. BTFS (BitTorrent File System): Provides decentralized storage for our encrypted data and models. This is in progress.
  4. React: Powers our frontend, offering a responsive and intuitive user interface.
  5. Python: Drives our backend operations, handling verification, decryption, and model deployment.
  6. Python Encryption libraries: Ensure the security of sensitive data throughout the system.

This technology stack allows us to create a robust, secure, and scalable platform for AI asset management and deployment.

What’s Next for NeuraNFT

Looking ahead, we have an ambitious roadmap for the continued development and expansion of NeuraNFT:

  1. Smart contract optimization: We plan to refine and optimize our smart contracts for better performance and lower fees. This will involve in-depth analysis of contract execution and storage usage to minimize costs for users.
  2. Advanced NFT functionalities: We aim to implement more sophisticated NFT features, such as model combination and fractional ownership. These features will enable more complex collaborations and ownership structures in the AI ecosystem.
  3. Robust marketplace development: We will focus on developing a more comprehensive marketplace for AI models and data. This will include advanced search and discovery features, reputation systems, and seamless integration with the permission management system.
  4. Governance mechanisms: We plan to introduce decentralized governance mechanisms, allowing the community to participate in decision-making processes for the platform’s development and policies.
  5. Expanded compute network: We will work on developing a more robust and efficient decentralized compute network for model deployment. This will involve implementing advanced routing and load balancing techniques to ensure optimal performance.
  6. AI-to-AI interaction protocols: We aim to implement protocols that enable AI models to interact with each other securely within the NeuraNFT ecosystem. This could open up new possibilities for collaborative AI development and deployment.
  7. Cross-chain interoperability: To expand the reach and utility of NeuraNFT, we plan to explore cross-chain interoperability, allowing assets and functionalities to be used across different blockchain networks.
  8. Industry partnerships: We will focus on establishing partnerships with AI researchers, companies, and institutions to drive real-world adoption and application of NeuraNFT.

These future developments are aimed at continuing to evolve NeuraNFT and address the ongoing challenges in the AI ecosystem. Our goal is to create an increasingly accessible, secure, and fair platform for AI development and deployment, fostering innovation and collaboration in the field.

In conclusion, NeuraNFT represents a significant step towards a more decentralized, secure, and equitable AI ecosystem. By addressing key challenges in data ownership, model deployment, and asset management, we aim to unlock new possibilities in AI development and usage. As we move forward, we remain committed to our vision of democratizing AI and creating a platform that empowers creators, protects data owners, and provides users with unprecedented control over their AI assets.

Smart Contract links

“MasterAccessControl”: “TRONSCAN | TRON BlockChain Explorer | 波场区块链浏览器”,
“NFTAccessControl”: “TRONSCAN | TRON BlockChain Explorer | 波场区块链浏览器”,
“NFTMetadata”: “TRONSCAN | TRON BlockChain Explorer | 波场区块链浏览器”,
“NFTContract”: “TRONSCAN | TRON BlockChain Explorer | 波场区块链浏览器”,
“CollectionContract”: “TRONSCAN | TRON BlockChain Explorer | 波场区块链浏览器

9 Likes

Welcome to hackathon S7
Your project sounds absolutely groundbreaking

  • What plans have you put in place in ensuring the safety of sensitive A1 model and data during deployment.

  • In terms of newbies entering the A1 space will you offer educational resources or tools that will be of helping hand to them.

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Welcome to the Hackathon of season 7, I have read everything that you put in writing format for you’re project, please tell me what is the cost that you are projecting for you’re users when they are creating nfts, thank you

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@sidh1999
Thanks a lot for taking your time in explaining to me bit by bit , wishing you the very best

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You are welcome to the hackathon session 7.
I have read your long post and it sound promising especially to data owners who are going to enjoy fair compensation for their data through using your platform but my question to this approach is;

  1. What step are you taken to guarantee that the data owners are fairly compensated?
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Welcome to Hackathon Season 7, after a careful read of your project submission I see this aims to decentralize and tokenize AI models and data.
Are you considering implementing a rewards system for early adopters to bootstrap the marketplace?

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Welcome to Grand hackathon S7
All the best :v:

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Welcome to hackathon season 7
After carefully reading your project, I understand that it does not only seek to bridge the gap between blockchain and AI but also empowers creators, data owners, and users by providing a secure, decentralized platform for AI models and data.
Can you now tell me how you plan to ensure the integrity and accuracy of AI models and data on the platform?

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Thank you for your reply to me and you explain very very good for me to understand, I find it very interesting so I will like to know since you are mentioning that you are keeping nft creation cost very low so please tell me if there will be fee adjustment that will be base on network congestion or there will be a way you’re users can group their transactions to save on gas fees, thank you

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Honestly we haven’t crossed that bridge yet and are still working to optimize our contracts itself. Though we do plan to introduce bulk mints to reduce per NFT-Mint Cost. We are also creating a layer 2 solution for managing the HPC nodes for model inference, we can maybe shift the metadata to the l2 and use the access control which is more crucial to the L1 Tron Chain? Said that we are still in a very exploratory phase and focusing on getting the tech right with finding the PMF of NeuraNFT.

I would love to hear your thoughts on this, any guidance will be very much appreciated!

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Thank you for your reply all I can clap for right now is your honesty, I read something the other day about erc721a and how it is good for optimizing gas fees, I do not know but if you are planning to go cross chain you can implement erc721a because it will really help to reduce the friction for you’re users that are looking to minting plenty nfts in a single transaction, thank you

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Welcome to hackathon S7, I’ve gone through your project and it looks impressive! Could you explain how you plan to handle scalability as the platform grows with more AI models and users?

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You are very much welcome

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Ok, that is a nice approach. Please tell me, are there any specific security protocols you plan to implement to protect against unauthorized access, tampering, or theft of AI models and data?

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Thanks for this detailed answer, how do you ensure fair pricing on NFT owner’s royalty fee?

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(post deleted by author)

Hi, I explored your project and noticed you won NeuraNFT at the ICP hackathon two months ago, yet this isn’t mentioned in the description here.
I also looked at the “What’s Next” section you provided, which includes some ambitious goals:

  1. Transitioning to a distributed HPC network for improved scalability and performance.
  2. Developing a fully blockchain-based compute system for AI model execution.
  3. Enhancing NFT functionality for model composition and fractional ownership.
  4. Creating a decentralized marketplace for AI model NFTs.
  5. Implementing a DAO for ecosystem governance.
  6. Improving interoperability with other blockchain networks and AI systems.
  7. Enhancing privacy and security features, including homomorphic encryption and differential privacy.
  8. Developing an ethical AI framework and compliance tools.
  9. Expanding AI capabilities to handle various data types and enable continuous learning.
  10. Focusing on real-world integration, including IoT device integration and enterprise-grade solutions.
    Could you share the progress on transitioning to the HPC network? Also, why are you moving to the Tron blockchain? and if it’s cross-chain why do you think it’s fit with interoperability?

Regarding your encryption methods, What level of encryption are you using? While encryption can protect data, storing encrypted personalization data on BTFS can be problematic since encrypted data still transparent and accessible for download. This approach doesn’t offer much difference from a centralized system, where you still hold responsibility for the encryption keys. BTFS is generally more suitable for open-source applications rather than sensitive personalized data even though it’s encrypted in whatever you do.

Lastly, who is your primary target market? Is it just data scientists? While this project can connect to Tron, it seems to lack a clear market fit to begin with

Also i think this should be artistry category

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