The problem Mirror Sphere solves
Here's the content converted to markdown without modifying the text:
Content Creation Challenges:
- Inconsistent brand voice across multiple social media platforms.
- Time-consuming content generation, scheduling processes and maintaining multiple social media personas
- Difficulty maintaining engagement due to varying platform-specific requirements.
- Inefficient cross-platform content strategy
Portfolio Management Challenges:
- Lack of personalized investment strategies aligned with individual interests in web3 assets.
Challenges we ran into
During the development of our AI-powered social media content creator, we encountered several technical challenges:
- Setting Up Walrus Local Nodes: Integrating Walrus for decentralized storage required establishing local nodes, a process complicated by limited documentation and intricate configurations. To overcome this, we engaged with the Walrus developer community and meticulously followed the official setup guides, which facilitated successful node deployment.
- Key Management with Lit Protocol and EAS: Implementing secure key transmission using Lit Protocol and the Ethereum Attestation Service (EAS) presented hurdles due to the complexity of decentralized key management systems. We addressed these issues by consulting the Lit Protocol documentation and integrating best practices from the Ethereum Attestation Service, ensuring robust key handling and attestation processes.
- On-Chain Persona Storage: Determining an efficient method to store user personas on-chain was challenging, particularly in balancing accessibility with privacy. We devised a solution that involves encrypting persona data and storing it on-chain, with access controlled via smart contracts. This approach maintains data integrity and user privacy, aligning with decentralized principles.
Additional Features
During the hackathon, we integrated our existing AI-powered video editing capabilities from Edit AI into the project, enhancing the platform's functionality. This integration enabled advanced video editing features, allowing users to create and edit videos with AI assistance, thereby streamlining the content creation process. By incorporating these capabilities, we provided users with a more comprehensive toolset for producing high-quality, engaging content across various social media platforms.