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"""FraudSimulator-AI - Fraud Detection System
Built using BDR Agent Factory v1
"""
import gradio as gr
from typing import Tuple
from agents.pattern_agent import PatternAnalysisAgent
from agents.anomaly_agent import AnomalyDetectionAgent
from agents.risk_scoring_agent import RiskScoringAgent
from governance.fraud_audit_logger import FraudAuditLogger
from governance.fraud_trace import FraudDetectionTrace
class FraudSimulatorAI:
def __init__(self):
self.pattern_agent = PatternAnalysisAgent()
self.anomaly_agent = AnomalyDetectionAgent()
self.risk_agent = RiskScoringAgent()
self.audit_logger = FraudAuditLogger()
self.trace = FraudDetectionTrace()
def analyze_fraud(
self,
claim_id: str,
claim_amount: float,
prior_claims: int,
fraud_flag: bool
) -> Tuple[str, str, str]:
self.trace.start_trace(claim_id)
claim_data = {"claim_id": claim_id, "claim_amount": claim_amount}
historical_data = {"prior_claims": prior_claims, "fraud_flag": fraud_flag}
pattern_results = self.pattern_agent.process(claim_data, historical_data)
self.trace.add_step("pattern_analysis", pattern_results)
anomaly_results = self.anomaly_agent.process(claim_data, historical_data)
self.trace.add_step("anomaly_detection", anomaly_results)
final_results = self.risk_agent.process(pattern_results, anomaly_results)
self.trace.add_step("risk_scoring", final_results)
audit_id = self.audit_logger.log_fraud_assessment(
claim_id,
final_results["fraud_score"],
final_results["risk_level"],
final_results["fraud_indicators"],
final_results["recommended_action"]
)
score_text = f"**Fraud Score:** {final_results['fraud_score']:.1%}\n**Risk Level:** {final_results['risk_level'].upper()}"
indicators_text = "**Fraud Indicators:**\n"
if final_results['fraud_indicators']:
indicators_text += "- " + "\n- ".join(final_results['fraud_indicators'])
else:
indicators_text += "No fraud indicators detected"
indicators_text += f"\n\n**Recommended Action:**\n{final_results['recommended_action']}"
if final_results['requires_investigation']:
indicators_text += "\n\n⚠️ **Investigation Required**"
audit_text = f"""**Audit Trail**
Audit ID: {audit_id}
Trace ID: {self.trace.get_trace()['trace_id']}
**Analysis Pipeline:**
1. ✓ Pattern Analysis Agent
2. ✓ Anomaly Detection Agent
3. ✓ Risk Scoring Agent
**Compliance:** FRAUD_AUDIT | INVESTIGATION_READY
"""
return score_text, indicators_text, audit_text
app = FraudSimulatorAI()
with gr.Blocks(title="FraudSimulator-AI", theme=gr.themes.Soft()) as demo:
gr.Markdown(
"""
# 🔍 FraudSimulator-AI
## AI-Powered Fraud Detection System
**+15% precision improvement | Real-time scoring | Investigation routing**
*Built using [BDR Agent Factory v1](https://huggingface.co/spaces/bdr-ai-org/BDR-Agent-Factory)*
"""
)
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("### 📋 Claim Information")
claim_id = gr.Textbox(label="Claim ID", value="CLM-FRAUD-001")
claim_amount = gr.Number(label="Claim Amount ($)", value=5000.00)
gr.Markdown("### 📊 Historical Context")
prior_claims = gr.Slider(label="Prior Claims", minimum=0, maximum=10, value=1, step=1)
fraud_flag = gr.Checkbox(label="Previous Fraud Flag", value=False)
analyze_btn = gr.Button("🔍 Analyze Fraud Risk", variant="primary", size="lg")
with gr.Column(scale=1):
gr.Markdown("### 🎯 Fraud Analysis")
score_output = gr.Textbox(label="Fraud Score & Risk Level", lines=2)
indicators_output = gr.Textbox(label="Fraud Indicators", lines=8)
audit_output = gr.Textbox(label="Audit Trail", lines=8)
gr.Examples(
examples=[
["CLM-FRAUD-001", 5000.00, 1, False],
["CLM-FRAUD-002", 15000.00, 4, True],
["CLM-FRAUD-003", 10000.00, 2, False],
],
inputs=[claim_id, claim_amount, prior_claims, fraud_flag]
)
analyze_btn.click(
fn=app.analyze_fraud,
inputs=[claim_id, claim_amount, prior_claims, fraud_flag],
outputs=[score_output, indicators_output, audit_output]
)
if __name__ == "__main__":
demo.launch()
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