ethertrendai-gas-predictor
EtherTrendAI is web application that displays current gas price and provides AI-powered predictions for future gas price
비디오
설명
EtherTrendAI: Gas Price Predictor is an innovative web application built using React that aims to help Ethereum users optimize their transaction timing and costs. This project combines real-time data from the Ethereum network with artificial intelligence to provide users with current gas prices and predictive forecasts for the next 24 hours.
Key features of EtherTrendAI include:
- Real-time Gas Price Display: The application fetches and displays the current Ethereum gas price in Gwei using the Etherscan API, providing users with up-to-the-minute information on network congestion and transaction costs.
- AI-Powered Predictions: Leveraging artificial intelligence (presumably through integration with the Gaia AI network, though the actual implementation is not yet complete), EtherTrendAI offers gas price predictions for 1 hour, 6 hours, 12 hours, and 24 hours into the future. This feature allows users to plan their transactions strategically to minimize costs.
- Interactive Visualization: The application uses Chart.js to create an intuitive line chart that visualizes both the current gas price and the predicted prices over time. This graphical representation helps users quickly grasp trends and make informed decisions.
- Responsive Design: Built with Tailwind CSS, the user interface is fully responsive, ensuring a seamless experience across various devices and screen sizes.
- Error Handling and Loading States: The application includes proper error handling and loading indicators to provide a smooth user experience even when dealing with network requests or data processing delays.
Technically, EtherTrendAI is built on a modern web stack:
- React.js for building the user interface and managing application state
- Axios for making HTTP requests to external APIs
- Chart.js and react-chartjs-2 for data visualization
- Tailwind CSS for styling and responsiveness
- Environment variables for secure API key management
The project structure includes separate components for modularity, such as the main GasPricePredictor component, which encapsulates the core functionality of fetching data, managing state, and rendering the UI.
While the current implementation uses mock data for AI predictions, the architecture is designed to easily integrate with a real AI prediction service in the future. The placeholder GAIA_AI_ENDPOINT suggests plans to connect with an AI service, possibly on the Gaia network, to provide accurate gas price forecasts.
EtherTrendAI represents a valuable tool for the Ethereum community, potentially helping users save on transaction costs and contributing to more efficient use of the Ethereum network. Its combination of real-time data, predictive analytics, and user-friendly interface makes it a promising project in the blockchain tooling space.
해커톤 진행 상황
Initially saw the completion of the core React component structure and successful integration with the Etherscan API for real-time gas prices. , The Chart.js implementation was finalized, creating an interactive price trend visualization. The AI prediction logic was simulated pending full implementation. Responsive design using Tailwind CSS was applied in the final hours, ensuring mobile compatibility. While the AI integration remains a post-hackathon goal, a fully functional UI with mock prediction data was achieved, demonstrating the concept's potential for optimizing Ethereum transactions.