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Important Rules

Judging criteria

Technicality - What is the complexity of problem being addressed, or their approach to solving it?

Originality - Is the project tackling a new or unsolved problem, or creating unique/creative solution to an existing problem?

Practicality - How complete/functional is the project? Is it ready to be used by their intended audience?

Usability (UI/UX/DX) - Is the project easy to use? Has the team made good effort in removing friction for the user?

WOW factor - Catch-all for other factors the previous categories may have missed

Ideas for Galadriel track

  • Predictive Modeling for Portfolio Optimization:

    • Enhance Markowitz’s mean-variance optimization by incorporating AI-driven predictive models to forecast asset returns and volatilities. This can lead to more dynamic and adaptive portfolio allocation.
    • Explore using advanced AI techniques like deep learning or reinforcement learning to identify complex patterns and relationships in on-chain data for better predictions.

  • AI-Powered Risk Management:

    • Implement AI-based risk assessment models to continuously monitor and evaluate the risk profile of the portfolio. This can help identify potential threats and trigger proactive risk mitigation strategies.

    • Use AI to analyze market sentiment, news articles, and social media data to assess broader market risks and adjust the portfolio accordingly.

  • Personalized Investment Recommendations:

    • Develop AI algorithms that can analyze individual user preferences, risk tolerance, and financial goals to provide personalized investment recommendations tailored to their needs.
    • Consider using natural language processing (NLP) to interact with users, understand their queries, and offer tailored investment advice.

  • Decentralized AI Model Training and Governance:

    • Explore using decentralized technologies to train and govern the AI models, ensuring transparency and community involvement in the decision-making process.
    • Consider using a token-based incentive system to reward users for contributing data or computational resources to the model training process.

  • Smart Contract Automation with AI:

    • Implement AI-driven triggers and decision-making within smart contracts to automate complex investment strategies and portfolio rebalancing.

    • Explore using AI to analyze on-chain events and trigger smart contract actions in response to specific market conditions or user-defined criteria.

    • @Brandyn Hamilton could you give me feedback on whether this is how you would use Galadriel for the project?

Here’s what our team is working on so far:

Name: Smart Portfolios Description: A dApp that manages a crypto portfolio, similar to an ETF in the web3 context, offering: Expected returns Risk reduction Diversification benefits Github: https://github.com/D9J9V/ETHonline24Idea: undefined Blockers: we want to integrate Galadriel for the investment product, and implement AI-based risk assessment models to continuously monitor and evaluate the risk profile of the portfolio.

Can we use Flask to integrate the ML model into the application built with Scaffold-eth?

Public URL: https://ethglobal.com/showcase/smart-portfolios-0ae32

See also: Optimizer Finance DAO | Prizes | Tokenomics

Related projects: ETH Global NYC

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