AI Data Collection Challenges: Simplifies the process of gathering diverse and high-quality datasets.
Sparse Datasets: Provides a platform for sourcing hard-to-find datasets.
Dataset Verification: Uses AI and on-chain mechanisms to ensure the validity and trustworthiness of data.
User Experience Enhancements: Due to time constraints, we couldn't implement the desired user experience improvements. This remains a focus for future development.
we still have pending tasks, including the integration of validators for the verifiers and the implementation of an incentivization system.
we encountered difficulties in ensuring seamless data verification across diverse sources, managing the complexities of on-chain mechanisms, and addressing scalability concerns as the platform grows.
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