This is an Online Transaction Fraud Detection System (FDS) to detect payment frauds. Made using Django.
A machine learning-based fraud detection system that analyzes transaction patterns to identify potentially fraudulent activities. Features a Streamlit web interface for real-time predictions. Note: Model is currently in development with ongoing improvements planned.
This repository outlines various solutions using AWS Cloud's AIML services to detect fraud faster.
Detect fraudulent transactions and accounts in a vast dataset
Real-time transaction risk monitoring system with rule-based fraud detection, REST API, and a React dashboard. Built with Node.js, Express, and SQLite.
Full-stack Flask insurance workflow system with policy management, QR verification, Twilio SMS alerts, NLP sentiment analysis, and Decision Tree-based fraud detection (77% accuracy).
An open-source project for ROSP Lab based on Fraud Detection using ML
Fraud Detection REST API project built with FastAPI and LightGBM Binary Classifier.
AI Deepfake and Fraud Detection
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