Create rules_engine.py

rules_engine.py

@@ -0,0 +1,30 @@
+# rules_engine.py
+
+import pandas as pd
+
+def evaluate_health_risks(df: pd.DataFrame) -> pd.DataFrame:
+    """
+    Very simple health risk scoring engine.
+    Takes input dataframe with health data and adds risk scores.
+    """
+
+    results = []
+
+    for _, row in df.iterrows():
+        risks = {}
+
+        # Example rules (you can expand / modify later)
+        risks["risk_Type 2 Diabetes Risk"] = 0.8 if row["glucose"] > 126 else 0.2
+        risks["risk_Hypertension Risk"] = 0.7 if row["systolic_bp"] > 140 else 0.3
+        risks["risk_Depression/Mood Concern"] = 0.6 if row["sleep_hours"] < 5 else 0.2
+        risks["risk_Migraine Risk"] = 0.5 if row["screen_time"] > 8 else 0.2
+        risks["risk_Sleep Apnea Risk"] = 0.7 if row["bmi"] > 30 else 0.3
+        risks["risk_Anemia Risk"] = 0.6 if row["hemoglobin"] < 12 else 0.2
+
+        results.append(risks)
+
+    # Merge with original dataframe
+    risks_df = pd.DataFrame(results)
+    final_df = pd.concat([df, risks_df], axis=1)
+
+    return final_df