This project is designed to help users make informed decisions about buying or selling cryptocurrency tokens based on real-time data from the Uniswap V3 API. The system integrates AI to analyze the token market conditions and provide recommendations.
Key Features:
- Data Source: The project pulls real-time token data from Uniswap V3, including important metrics like token price, trading volume, and liquidity.
- AI-Based Recommendation: Using machine learning, the system analyzes market trends and token metrics to recommend whether users should buy or sell a token.
- Frontend: The user can select a token, and the AI-generated recommendation (buy/sell) is displayed in a user-friendly interface.
- Backend: The AI model uses key token parameters, such as price movements, trading volume, and liquidity, to generate predictions.
- Deployment: The project is hosted on Vercel, where the AI interacts with the Uniswap V3 API to fetch token data, analyze it, and return actionable recommendations.
Technology Stack:
- React: For building the frontend user interface.
- Axios: For making API requests to Uniswap V3 and fetching data.
- AI Model: The recommendation system leverages AI models trained on market data to predict token movements.
- AWS: Hosting and deployment of the frontend and backend.
