TokenHelper

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:

1. Data Source: The project pulls real-time token data from Uniswap V3, including important metrics like token price, trading volume, and liquidity.
2. AI-Based Recommendation: Using machine learning, the system analyzes market trends and token metrics to recommend whether users should buy or sell a token.
3. Frontend: The user can select a token, and the AI-generated recommendation (buy/sell) is displayed in a user-friendly interface.
4. Backend: The AI model uses key token parameters, such as price movements, trading volume, and liquidity, to generate predictions.
5. 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.