🧠 Ethereum Sybil Wallet Checker

A Sybil detection tool that analyzes any Ethereum wallet using both rule-based logic and a machine learning model.
Built to help DAOs, airdrop campaigns, and web3 communities fight Sybil attacks.

👉 Try the Live App
👉 Landing Page

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🔍 Features

• 🦊 Connect via MetaMask
• ✍️ Wallet signature authentication
• 📊 Real-time Sybil detection
• 🧠 Rule-based + ML classification
• 🎨 Space-themed, futuristic UI
• 🔐 Admin dashboard to manage verified wallets

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🧪 How It Works

1. User connects their Ethereum wallet and signs a message.
2. The app fetches wallet data (wallet age, tx count, gas usage, etc.)
3. Rule-based filters are applied (e.g. new wallet, 0 txs = likely Sybil)
4. If passed, an ML model makes the final prediction
5. Result is shown + saved to the backend (for DAO admins)

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🎯 Built For

• DAOs & governance platforms
• Airdrop and retro funding programs
• NFT allowlists and launchpads
• Web3 teams battling Sybil attacks

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⚙️ Tech Stack

• 🐍 Python
• 📦 Streamlit
• 🤖 Scikit-learn (ML model)
• 📡 Ethereum RPC / Etherscan API
• 💽 SQLite (or CSV as fallback)
• 🎨 Custom CSS + JS wallet injection

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📁 Folder Structure

📁 SybilWalletChecker/
│
├── app.py               # Main app UI
├── admin.py             # Admin dashboard for DAO teams
├── fetch_wallet_data.py # On-chain feature extractor
├── train_model.py       # ML model training
├── sybil_model.pkl      # Trained classifier
├── db.py                # Database handler (SQLite)
├── wallet_component.py  # MetaMask wallet connector
├── assets/              # Backgrounds, robot images
└── README.md

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🧠 Future Roadmap

• 💾 SQL + IPFS/Arweave support
• 🔢 Sybil score (0-100) instead of binary label
• 📄 Export PDF reports
• 🌐 Multi-chain support (ZKSync, Arbitrum, Base, StarkNet)

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🏛️ Seeking Partners

We’re actively looking for:

• DAO & protocol partners
• Web3 grants or retroactive funding
• Feedback from Sybil attack victims

📧 sayanrawl.eth@proton.me
🐦 Twitter: https://x.com/RawlSayan58006?s=09

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💻 Run Locally

git clone https://github.com/Sayan2608/SYBIL-DETECTION-APP
cd SYBIL-DETECTION-APP
pip install -r requirements.txt
streamlit run app.py

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⭐ Star this repo if you support Sybil-resistance tools for Web3.