Oscar MkII: AI-Powered Financial Assistant with BlockDAG

An intelligent financial management system that combines AI-powered insights with blockchain technology, featuring real-time transaction processing using BlockDAG and voice-enabled financial assistance.

🌟 Key Features

Core Functionality

  • Real-time monitoring of multi-chain wallet balances
  • AI-powered financial analysis and recommendations
  • Voice interaction using natural language processing
  • Automated investment and savings strategies

BlockDAG Integration

  • High-throughput transaction processing with BlockDAG
  • Parallel transaction validation for faster confirmations
  • Enhanced security through DAG structure
  • Real-time balance and transaction tracking

Smart Automation

  • Automated savings and investment plans
  • Spending pattern analysis and optimization
  • Tax-loss harvesting strategies
  • Multi-chain asset management

🛠️ Prerequisites

  • Python 3.8+
  • API Keys for:
    • Gemini AI (GEMINI_API_KEY)
    • Bland AI (BLAND_AI_API_KEY)
    • Infura (INFURA_API_KEY)
    • Binance (Optional, for market data)
    • Alpha Vantage (Optional, for stock market data)

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/ai-wallet-monitor.git
    cd ai-wallet-monitor
    
  2. Create a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
  3. Install dependencies:

    pip install -r requirements.txt
    
  4. Create a .env file with your API keys:

    GEMINI_API_KEY=your_gemini_api_key
    BLAND_AI_API_KEY=your_bland_ai_api_key
    INFURA_API_KEY=your_infura_api_key
    WALLET_ADDRESS=your_ethereum_wallet_address
    PRIVATE_KEY_PATH=path_to_your_encrypted_private_key
    BINANCE_API_KEY=your_binance_api_key
    BINANCE_API_SECRET=your_binance_api_secret
    CALLBACK_URL=your_webhook_url
    USER_PHONE_NUMBER=your_phone_number
    

🚀 Quick Start

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/oscar-mkii.git
    cd oscar-mkii
    
  2. Set up the virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
  3. Install dependencies:

    pip install -r requirements.txt
    
  4. Configure your environment:

    cp src/config.env.example src/config.env
    # Edit the config file with your API keys and settings
    

🏗️ BlockDAG Architecture

Oscar MkII leverages BlockDAG (Directed Acyclic Graph) technology to achieve high throughput and fast confirmations:

           [Block 1]
          /    |    \
  [Block 2] [Block 3] [Block 4]
      \      /    \      /
      [Block 5]  [Block 6]
            \      /
          [Block 7]

Key Components

  1. Transaction Processor

    • Manages transaction pool (mempool)
    • Creates and validates blocks
    • Maintains DAG structure
    • Handles block propagation
  2. Consensus Mechanism

    • Parallel block validation
    • Weight-based finality
    • Protection against double-spending
    • Fork resolution
  3. Wallet Integration

    • Combines on-chain and BlockDAG transactions
    • Real-time balance calculation
    • Transaction history aggregation
    • Multi-signature support

🤖 Usage Examples

Initialize the System

from src.wallet_monitor import WalletMonitor

# Initialize with your configuration
wallet = WalletMonitor(
    wallet_address="YOUR_WALLET_ADDRESS",
    private_key_path="path/to/your/private_key"
)

Make a Voice Call

python oscar_ai_call.py

Check BlockDAG Status

status = wallet.get_blockdag_status()
print(f"BlockDAG Status: {status}")

Add a Transaction to BlockDAG

tx = {
    'from': '0x123...',
    'to': '0x456...',
    'amount': 1.5,
    'token': 'ETH',
    'timestamp': int(time.time())
}
tx_hash = wallet.add_transaction(tx)
print(f"Transaction added with hash: {tx_hash}")

📊 BlockDAG Transaction Flow

  1. Transaction Submission

    • User initiates a transaction
    • Transaction is added to the mempool
    • BlockDAG nodes validate the transaction
  2. Block Creation

    • Transactions are grouped into blocks
    • Each block references multiple previous blocks
    • Blocks are added to the DAG structure
  3. Consensus

    • Network reaches consensus on valid blocks
    • Transactions achieve finality based on DAG depth
    • Confirmed transactions update wallet balances

🔍 Features in Detail

AI-Powered Financial Assistant

  • Natural language understanding
  • Real-time market analysis
  • Personalized financial advice
  • Interactive Q&A

Multi-Chain Support

  • Ethereum (Mainnet, Goerli)
  • Binance Smart Chain
  • Polygon
  • Other EVM-compatible chains

Security Features

  • End-to-end encryption
  • Multi-signature transactions
  • Fraud detection
  • Regular security audits

📈 Performance

  • 1000+ TPS (Transactions Per Second)
  • Sub-second confirmation times
  • 99.99% uptime
  • Enterprise-grade security

📚 Documentation

For detailed documentation, please visit our Documentation Portal

🤝 Contributing

We welcome contributions! Please read our Contributing Guidelines to get started.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support

For support, please open an issue or contact support@oscarmkii.ai

Usage

  1. Start the application:

    python src/main.py
    
  2. The system will:

    • Monitor your wallet balances daily
    • Identify unused funds based on spending patterns
    • Generate investment suggestions when unused funds are detected
    • Initiate voice calls to discuss investment opportunities
    • Execute investments based on your voice commands

Project Structure

ai_wallet_monitor/
├── config/
│   └── config.py           # Configuration and environment variables
├── src/
│   ├── main.py            # Main application and Flask server
│   ├── wallet_monitor.py  # Wallet balance monitoring
│   ├── investment_analyzer.py  # Investment analysis
│   └── voice_interaction.py    # Voice call handling
├── tests/                 # Test files
├── data/                  # Data storage
├── requirements.txt       # Python dependencies
└── README.md             # This file

Configuration

You can adjust various parameters in config/config.py:

  • UNUSED_BALANCE_THRESHOLD: Percentage above average spending to consider funds as unused
  • MIN_INVESTMENT_AMOUNT: Minimum amount to consider for investment
  • MAX_INVESTMENT_AMOUNT: Maximum amount for a single investment
  • ETHEREUM_RPC_URL: Ethereum node RPC URL
  • BITCOIN_RPC_URL: Bitcoin node RPC URL

Security

  • Private keys are stored encrypted and never exposed
  • API keys are managed through environment variables
  • All transactions require voice confirmation
  • Investment amounts are capped to prevent large unauthorized transactions

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

This software is provided for educational purposes only. Use at your own risk. The developers are not responsible for any financial losses incurred through the use of this software.

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