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README.md

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----
-title: Fraud Detection Engine
-emoji: 🔍
-colorFrom: red
-colorTo: yellow
-sdk: gradio
-sdk_version: 4.44.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-# Fraud Detection Engine
-
-Analyzes SEC 10-K filings (2021-2024) to identify risks of financial statement manipulation using a three-agent architecture.
-
-## Features
-
-- **Beneish M-Score**: Detects earnings manipulation (threshold > -1.78)
-- **Altman Z-Score**: Assesses financial distress (Safe/Grey/Distress zones)
-- **MD&A Text Analysis**: Identifies managerial obfuscation patterns
-
-## Risk Levels
-
-| Level | Score Range | Description |
-|-------|-------------|-------------|
-| LOW | 0-20 | Minimal fraud indicators |
-| MODERATE | 20-40 | Some warning signs present |
-| HIGH | 40-70 | Significant fraud risk factors |
-| CRITICAL | >70 | Multiple severe red flags |
-
-## Methodology
-
-Based on established academic research:
-- Beneish (1999) M-Score model for earnings manipulation
-- Altman (1968) Z-Score model for bankruptcy prediction
-- Liu et al. (2025) framework for managerial obfuscation detection
+---
+title: Fraud Detection Engine
+emoji: 🔍
+colorFrom: red
+colorTo: yellow
+sdk: docker
+pinned: false
+license: mit
+---
+
+# Fraud Detection Engine
+
+Analyzes SEC 10-K filings (2021-2024) to identify risks of financial statement manipulation using a three-agent architecture.
+
+## Features
+
+- **Beneish M-Score**: Detects earnings manipulation (threshold > -1.78)
+- **Altman Z-Score**: Assesses financial distress (Safe/Grey/Distress zones)
+- **MD&A Text Analysis**: Identifies managerial obfuscation patterns
+
+## Risk Levels
+
+| Level | Score Range | Description |
+|-------|-------------|-------------|
+| LOW | 0-20 | Minimal fraud indicators |
+| MODERATE | 20-40 | Some warning signs present |
+| HIGH | 40-70 | Significant fraud risk factors |
+| CRITICAL | >70 | Multiple severe red flags |