Medical_fraud_detection

Leveraging machine learning and confusion matrix analysis to detect fraudulent medical practice with precision Built using Vanilla JavaScript + Tailwind CSS+ Html (frontend), Flask+ Python (backend). Secure patient submissions fuel the fraud detection model and strengthen healthcare integrity.