pumpmetAI
  • Introduction
    • Overview of pumpmetAI
    • Key Features
    • Vision: pumpmetAI
  • Application Overview
    • High-Level Architecture
    • What Can PumpmetAI Do?
    • Advanced AI Models and Technologies Behind PumpmetAI
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  1. Application Overview

High-Level Architecture

PumpmetAI’s architecture is designed for scalability, accuracy, and robustness, ensuring real-time insights and seamless user experience:

  1. Data Ingestion Layer:

    • Collects data from blockchain nodes, APIs, social media platforms, and DEX feeds.

    • Utilizes WebSocket connections for real-time data streaming.

  2. AI Processing Core:

    • Natural Language Processing (NLP): Analyzes sentiment and trends across social platforms.

    • Predictive Modeling: Employs machine learning algorithms, including Random Forests and LSTMs, to identify high-potential tokens.

    • Risk Scoring: Implements anomaly detection models to flag suspicious token activity.

  3. Analytics Engine:

    • Aggregates and visualizes insights for users.

    • Provides customizable dashboards for real-time updates.

  4. Community Layer:

    • Enables voting and project submission by token holders.

    • Integrates gamified elements like leaderboards and rewards systems.

  5. Security and Compliance Module:

    • Ensures adherence to regulatory frameworks.

    • Implements secure token authentication and encryption protocols.

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Last updated 3 months ago

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