TensorScan AI Whitepaper
  • 📊Executive Summary
  • 🌎Introduction
  • Project Overview
    • 🚀Project Overview
    • ⚙️Utilizing Bittensor for Decentralized Computing Power
    • 🤖AI-Driven Wallet Analysis
    • 🌐Browser Extension and Etherscan Integration
  • Tokenomics
    • 💰TensorScan AI Tokenomics
  • AI-Driven Wallet Analysis Architecture
    • 🤖AI-Driven Wallet Analysis Architecture
    • 🔄Data Ingestion and Preprocessing Module
    • 🛠️Feature Engineering and Dataset Preparation
    • 🤖Machine Learning Models
    • ⚙️Decentralized Computation with Bittensor
    • 🌐User Interface and Integration
  • Target Audience
    • 🎯Target Audience
    • 💼Casual and Serious Investors
    • 🔎Crypto Analysts and Researchers
    • 📶Traders
    • 👩‍💻Blockchain Developers
    • 🦍DeFi and NFT Communities
  • Challenges and Solutions
    • ⚙️Challenges and Solutions
    • 💻Challenge 1: High Computational Demand
    • 🔄Challenge 2: Dynamic and Evolving Data
    • 🚀Challenge 3: User Accessibility and Engagement
  • 🗺️Roadmap
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  1. AI-Driven Wallet Analysis Architecture

User Interface and Integration

  • Browser Extension: Connects the backend AI analysis with an intuitive frontend, displaying wallet categories and scores within the Etherscan.io interface. This integration ensures that users have instant access to TensorScan AI's insights without leaving their usual blockchain exploration environment.

This AI architecture empowers TensorScan AI to offer cutting-edge analysis of EVM wallets, transforming raw transaction data into actionable insights for Ethereum network users. Through continuous learning and decentralized computation, TensorScan AI remains adaptable and scalable, ready to meet the growing demands of blockchain analytics.

PreviousDecentralized Computation with BittensorNextTarget Audience

Last updated 1 year ago

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