Background

Scal3ML is a decentralized machine learning platform built on blockchain technology. It enables users to collaborate, share data, and monetize machine learning models securely and transparently.

Features

• Data Sharing: Easily share datasets with other users on the platform.
• Model Sharing: Collaborate with others by sharing machine learning models.
• Monetization: Monetize your data and models by offering them to other users.
• Profit Sharing: Distribute profits from data and model sales among collaborators.
• Collaboration Tools: Tools for collaboration on model development and improvement.

Use Cases

• Research Collaboration: Researchers can collaborate on machine learning projects by sharing datasets and models.
• Commercialization of Models: Data scientists can monetize their models by offering them for sale to businesses and individuals.
• Education: Educators can use the platform to share educational datasets and models with students.

Tools and Technologies

• Smart Contracts: Ethereum smart contracts are used to implement the platform's core functionality.
• IPFS (InterPlanetary File System): IPFS is used for decentralized storage of datasets and models.
• Web3.js: Web3.js is used to interact with the Ethereum blockchain from the web application.
• React.js: The frontend of the application is built using React.js to provide a modern user interface.
• Next.js: Next.js is used for server-side rendering and routing in the React.js application.
• Solidity: Solidity is the programming language used for writing Ethereum smart contracts.
• Ethereum: The platform is deployed on the Ethereum Sepolia testnet.
• Arbitrum: The platform is deployed on the Arbitrum Stylus Testnet for testing and scalability evaluation.
• Neon EVM: The platform is deployed on the Neon EVM Testnet for testing and compatibility with Ethereum Virtual Machine.

Deployment Details

The Scal3ML platform is deployed on the following networks:

• Ethereum: Sepolia Testnet
• Arbitrum: Arbitrum Stylus Testnet
• Neon EVM: Neon EVM Testnet

Next Steps

• Implement additional features such as model evaluation and testing tools.
• Enhance user interface and user experience based on feedback.
• Conduct security audits and optimize smart contract code for gas efficiency.
• Explore integration with additional blockchain networks for scalability and interoperability.