Create fraud_detection.py

QuantumNexusProtocol/src/ai/fraud_detection.py

@@ -0,0 +1,24 @@
+import pandas as pd
+from sklearn.ensemble import RandomForestClassifier
+
+class FraudDetector:
+    def __init__(self, data):
+        self.data = data
+        self.model = RandomForestClassifier()
+
+    def train_model(self):
+        X = self.data.drop('is_fraud', axis=1)
+        y = self.data['is_fraud']
+        self.model.fit(X, y)
+
+    def predict(self, new_data):
+        return self.model.predict(new_data)
+
+# Example usage
+if __name__ == "__main__":
+    data = pd.read_csv('fraud_data.csv')  # Load fraud detection data
+    detector = FraudDetector(data)
+    detector.train_model()
+    new_data = pd.read_csv('new_transactions.csv')  # Load new transactions
+    predictions = detector.predict(new_data)
+    print("Fraud Predictions:", predictions)