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ScaleML

Decentralized machine learning platform on Ethereum, allowing data and model sharing, monetization, and collaboration.

ScaleML

Created At

Scaling Ethereum 2024

Project Description

Scal3ML is a decentralized machine learning platform. It facilitates seamless collaboration, sharing, and monetization of datasets and machine learning models. Researchers, data scientists, and educators can leverage Scal3ML to collaborate on projects, share valuable data, commercialize models, and empower educational initiatives. With an innovative smart contract and IPFS integration, Scal3ML ensures transparent and secure transactions, fostering a vibrant ecosystem for machine learning innovation.

How it's Made

Primary Smart Contract: Ethereum smart contracts were written in Solidity to handle core platform functionalities such as data and model sharing, monetization, and profit distribution.

IPFS (InterPlanetary File System): IPFS was utilized for decentralized storage of datasets and models, ensuring data integrity and availability.

Web3.js: Web3.js library facilitated interaction with the Ethereum blockchain from the web application, enabling seamless integration of blockchain features into the user interface.

React.js: The frontend of the application was built using React.js, providing a dynamic and responsive user interface for users to interact with the platform.

Next.js: Next.js framework was employed for server-side rendering and routing in the React.js application, enhancing performance and SEO optimization.

Partner Technologies: Integration with partner technologies such as Arbitrum and Neon EVM testnets allowed for testing and scalability evaluation, ensuring compatibility and interoperability with different blockchain environments.

Further Optimizations: To optimize gas costs, particularly in smart contract deployment and execution, various gas optimization techniques were implemented, including code refactoring, storage optimization, and batch processing of transactions.

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