insurance-fraud-detection
This project presents an AI-powered framework for fraud detection and decision support using Gradient-boosted decision tree algorithms to distinguish...
Tool overview
Overview
This project presents an AI-powered framework for fraud detection and decision support using Gradient-boosted decision tree algorithms to distinguish fraudulent claims from legitimate submissions and assign calibrated risk score, incooperating xAI using Qwen2.5 to provide risk-factor explanations and automated next-step recommendations.
Features
- AI assistant
- Natural language interface
- Workflow automation
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