tokenpulse-ai
TokenPulseAI is React-based web application that provides AI-powered price predictions analysis for popular DeFi tokens
비디오
설명
TokenPulseAI is an advanced React-based web application designed to predict prices for popular DeFi (Decentralized Finance) tokens using AI-powered analysis. This cutting-edge tool provides users with comprehensive insights into the volatile cryptocurrency market, focusing on key DeFi tokens such as AAVE, Uniswap, Compound, and Maker.
The application leverages artificial intelligence to generate price predictions for multiple timeframes, including 1 hour, 6 hours, 12 hours, and 24 hours into the future. These predictions are presented through an intuitive and interactive user interface, featuring real-time price data, dynamic line charts for visual trend analysis, and detailed tabular views of price forecasts.
One of the standout features of TokenPulseAI is its sentiment analysis capability. For each token, the application provides a market sentiment indicator (Bullish, Neutral, or Bearish), offering users additional context for their investment decisions.
Built with modern web technologies, including React.js, Chart.js, and Tailwind CSS, TokenPulseAI offers a responsive design that works seamlessly across desktop and mobile devices. The application integrates with the LLaMA API for its AI-powered predictions, ensuring up-to-date and accurate forecasts.
TokenPulseAI aims to empower both novice and experienced cryptocurrency investors with the tools and insights needed to navigate the complex world of DeFi tokens. By combining real-time data, AI-driven predictions, and user-friendly visualizations, it provides a comprehensive platform for informed decision-making in the fast-paced cryptocurrency market.
Live link: https://tokenpulse-ai.vercel.app/
해커톤 진행 상황
TokenPulseAI evolved rapidly throughout the hackathon. Initial development focused on setting up the React framework and integrating Chart.js for data visualization. The AI prediction model was then implemented, followed by the integration of real-time data fetching. UI/UX improvements came next, with the addition of responsive design and interactive elements. Final stages involved rigorous testing, bug fixes, and performance optimizations. Each phase brought new challenges and learning opportunities