Create model.py

model.py

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+def score_opportunity(data):
+    # Fake scoring logic based on weighted sum
+    raw_score = (
+        0.3 * (data['lead_score'] or 0) +
+        0.2 * (data['email_count'] or 0) +
+        0.2 * (data['meeting_count'] or 0) -
+        0.1 * (data['close_date_gap'] or 0)
+    )
+    raw_score += 0.1 * (1 if data['stage'] == "Negotiation" else 0)
+    raw_score = max(0, min(100, round(raw_score)))
+
+    # Risk classification
+    if raw_score >= 75:
+        risk = "Low"
+        recommendation = "High chance of closing. Prioritize this deal."
+    elif raw_score >= 50:
+        risk = "Medium"
+        recommendation = "Moderate potential. Consider a follow-up soon."
+    else:
+        risk = "High"
+        recommendation = "Low potential. Reassess engagement or de-prioritize."
+
+    return {
+        "score": raw_score,
+        "risk": risk,
+        "recommendation": recommendation
+    }