I designed and built an end-to-end AI-powered platform for detecting and investigating suspicious health insurance claims.
The system combines machine learning, XGBoost, anomaly detection and behavioral analytics with a multi-stage RAG and document intelligence pipeline for AI-assisted claims investigation. I also developed an interactive React + D3.js dashboard for exploring fraud networks, geographic patterns, anomalies and explainable model outputs.
This project took me through the complete AI product lifecycle from data analysis and feature engineering to LLM orchestration, frontend development and interactive data visualization.
Built with: Machine Learning · XGBoost · RAG · LLMs · Document Intelligence · React · D3.js · Explainable AI
AI-Powered Insurance Fraud Detection Platform
I designed and built an end-to-end AI-powered platform for detecting and investigating suspicious health insura...