Create anomaly_detection.py

QuantumNexusProtocol/src/ai/anomaly_detection.py

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+import numpy as np
+from sklearn.ensemble import IsolationForest
+
+class AnomalyDetector:
+    def __init__(self, data):
+        self.data = data
+        self.model = IsolationForest()
+
+    def detect_anomalies(self):
+        self.model.fit(self.data)
+        anomalies = self.model.predict(self.data)
+        return anomalies
+
+# Example usage
+if __name__ == "__main__":
+    data = np.random.rand(100, 5)  # Simulated data
+    detector = AnomalyDetector(data)
+    anomalies = detector.detect_anomalies()
+    print("Anomalies Detected:", anomalies)