AIIntegration.py

import numpy as np
import pandas as pd
from sklearn.ensemble import IsolationForest
from web3 import Web3

# Placeholder for connecting to your Ethereum node and the voting smart contract
web3 = Web3(Web3.HTTPProvider('http://localhost:8545'))
contract_address = 'YOUR_CONTRACT_ADDRESS'
contract_abi = 'YOUR_CONTRACT_ABI'

contract = web3.eth.contract(address=contract_address, abi=contract_abi)

def fetch_voting_data():
    """
    Fetches voting data from the blockchain.
    Replace this with actual logic to interact with your smart contract.
    """
    votes = []  # Placeholder for votes data structure
    # Fetch votes from the smart contract
    return votes

def analyze_voting_patterns(votes):
    """
    Analyzes voting patterns using Isolation Forest for anomaly detection.
    """
    df = pd.DataFrame(votes)
    model = IsolationForest(n_estimators=100, contamination=0.01)
    df['anomaly'] = model.fit_predict(df[['vote']])
    anomalies = df[df['anomaly'] == -1]
    return anomalies

def main():
    print("Fetching voting data...")
    votes = fetch_voting_data()
    print("Analyzing voting patterns...")
    anomalies = analyze_voting_patterns(votes)
    if not anomalies.empty:
        print("Potential fraudulent activities detected:")
        print(anomalies)
    else:
        print("No anomalies detected. Election integrity maintained.")

if __name__ == "__main__":
    main()