Tracking
Anomalies
& Adventures

# Published: Tue 25 Feb 2025
import pandas as pd
from sklearn.ensemble import IsolationForest

def anamoly_detection(new: pd.DataFrame):
    # Tracking anomaly in the data
    new["std"] = new["value"].std()
    new["mean"] = new["value"].mean()
    
    # AI Model Logic
    model = IsolationForest(contamination=0.3)
    model.fit(new[["value"]])
    
    new["anomaly_score"] = model.predict(new[["value"]])
    
    if last_value.score == -1:
        return "Anomaly Detected!"
    else:
        return "System Normal."