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DeSets Protocol

Decentralized datasets to train AI for future

Screenshots

DeSets Protocol screenshot 1
DeSets Protocol screenshot 2
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Problem Statement

Some of the potential risk of current AI infrastructure are: Centralization Risks:Centralized AI datasets pose privacy and bias issues due to concentrated control.Incentive Gap:Lack of incentives hinders user participation in sharing valuable datasets for AI training.Data Misuse Threat:Centralized models risk data misuse, necessitating a decentralized solution for ethical AI training. We plan on to solve these issues with DeSets protocolLinkshttps://github.com/mr-harshtyagi/DeSets-Protocolhttps://desets.vercel.app/https://docs.google.com/presentation/d/1IneXRzSA5AcOP7BnXOq9i1YDiUN1QH54h4yVzD0AjHQ

Solution

Building a working project in 36 hours was a bit challenging task. At the end i was able to integrate sdks and deploy contracts on chains.

Hackathon

ETHIndia 2023

2023

Prizes

  • 🏆

    Unique Projects in Filecoin Ecosystem (up to 15 teams)

    Filecoin & IPFS

  • 🏆

    Deploy on Scroll

    Scroll

Contributors