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. Target Audience

Target Audience

TensorScan AI is meticulously designed for a diverse but focused user base within the Ethereum ecosystem. Our platform caters to the needs of daily Etherscan users, ranging from casual observers to serious investors and analysts. Understanding the intricacies of wallet transactions and holder profiles is crucial for anyone looking to navigate the Ethereum blockchain with confidence and strategic insight. Here, we delineate the core segments of our target audience

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Last updated 1 year ago

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