Dorahacks Buidl |
Google Presentation |
Google Drive File
In industries like real estate, access to niche and consistent datasets over time is a challenging endeavor. Often, the data is monopolized by singular entities, such as the government, making access not only limited but arduous. The digital landscape presents a similar challenge, where consumers find themselves devoid of genuine ownership of their data. DataSea aims to reshape this narrative by providing a platform for encrypted dataset streaming and AI model sharing, ensuring both transparency and security.
- Encrypted Data Streaming: DataSea allows providers to stream waves of encrypted datasets and AI models to buyers, ensuring security and authenticity.
- Consumer Data Ownership: Empowering users with the ability to securely sell their data, fostering a new age of data sovereignty.
- Dynamic NFTs: Utilization of Ocean Protocol to create dynamic NFTs that store encrypted user data, combining data innovation with blockchain integrity.
- ERC20 Access Tokens: Facilitating the secure access and transfer of data ownership.
- ERC 725 Data Storage: Leveraging Ocean's key-value pairing, DataSea provides a robust data storage mechanism, ensuring consistency and reliability.
- Reselling Mechanism: Owners can monetize their data by reselling the ownership and tokenized data through the dispensary.
- Automated AI Integration: Streamlining property data to seamlessly integrate into AI or predictive models, paving the way for cutting-edge analytics.
- Ocean Protocol: Interaction with smart contracts for NFT and token creation.
- Barge Aquarius & Provider: Responsible for storing and encrypting data tied to NFTs.
- FRE & Dispenser: Tools for NFT creation, updating, and dispensary functionalities.
- Data Upload: Users can upload their datasets, which are then encrypted and tied to a unique NFT.
- Access Control: Utilizing ERC20 access tokens, users can grant or restrict access to their data.
- Data Resell: Using the integrated dispensary, users can monetize their datasets by reselling ownership and tokenized data.
- AI Integration: Automated tools enable the seamless incorporation of property data into predictive models or AI systems.