NeuroNova

NeuroNova is a decentralized AI infrastructure designed for Web3 and blockchain ecosystems. It enables a new way for developers and end-users to interact with AI through tokenized systems, decentralized storage, and reputation-based trust.

Key Features :

1. Decentralized GPU Access: Developers leverage distributed GPUs for scalable and efficient AI model training.
2. Token-Based Access: End-users interact with AI agents by paying tokens, simplifying AI adoption in Web3.
3. Agent Marketplace: Developers trade AI agents and source datasets, fostering innovation and collaboration.
4. Decentralized Storage: Models and data are hosted securely on decentralized platforms for transparency and reliability.
5. Reputation Scores: AI agents are rated based on user feedback and output quality, ensuring trust in the ecosystem.

How Web3 Users Will Benefit:

End-users can seamlessly access powerful AI tools via tokens without technical expertise. By interacting with user-friendly AI agents for tasks like financial planning, content creation, or smart contract management, Web3 users gain practical benefits, lowering the entry barrier to advanced technologies. This simplicity is key to onboarding the next billion users into the decentralized ecosystem.

Demo Use Cases: Flow Blockchain Agent: Perform token transactions (buy, sell, transfer) using simple prompts. Base Blockchain Agent: Manage investments and explore on-chain financial features.

Over all, NeuroNova brings decentralized AI closer to the masses, empowering both developers and end-users while paving the way for widespread Web3 adoption.

This project was built on a python backend for the Machine Learning functionalities while relying on Javascript for the Web3 side of things, all packaged in a React front-end. The following infrastructures were used:

1. Web3Auth: Simplifies wallet connectivity for seamless onboarding.
2. Web3Storage: Ensures secure and decentralized model and file storage.
3. Phala Network: Enables privacy-focused AI training on TEEs with verifiable computations.
4. Push protocol : Notifications while deploying agents and as well as Agent transactions like buy/sell tokens. Also utilised for monitoring training jobs.
5. FLow : Built a flow AI Agent for use cases like Transfering Flow to any wallet, monitoring and recommending actions based on the price of Flow, getting wallet details and balances
6. Coinbase Agent Kit and APIs : Made Base AI Agent for some of the use cases like buying and selling tokens, getting realtime pricing and other functionalities with Coinbase apis for base network.