The problem SolveMint solves

Problem

Training AI models requires large amounts of human-labeled data, but current data labeling platforms are centralized, take high commissions, and lack transparency in how tasks are evaluated and paid. Workers often receive low compensation, while companies struggle with trust, fairness, and efficient global participation.

Solution

SolveMint is a decentralized platform where companies can post AI data labeling tasks and lock rewards in a smart contract. Workers complete these micro-tasks, and once a majority consensus is reached, the smart contract automatically distributes rewards to the correct contributors. This creates a transparent, fair, and global marketplace for AI data labeling powered by Web3.

Challenges we ran into

Challenges We Ran Into

• Testnet Setup & Network Migration:
  Initially the project was configured for Celo Alfajores, but we migrated to Celo Sepolia, which required updating Hardhat configs, wallet chains, and deployment scripts.

• Wallet & Network Integration:
  Ensuring MetaMask and RainbowKit correctly detected and connected to the Celo Sepolia network required custom chain configuration.

• Consensus Logic Design:
  Designing a simple yet reliable majority consensus system to validate task results before distributing rewards was a key challenge.

• Smart Contract & Frontend Coordination:
  Synchronizing the Solidity smart contracts with the React frontend for task creation, submissions, and reward distribution required careful handling of contract calls and state updates.