🚫 Detect ad fraud easily with AdTruth, the open-source solution designed to help small businesses grow through genuine traffic.

Open-source ad fraud detection for small businesses using machine learning. Detect click fraud and bot traffic from Google Ads, Facebook Ads, and other platforms. Completely free.

DAFU is a comprehensive fraud detection and e-commerce analytics platform designed for enterprise deployment. Currently in active development, it provides advanced machine learning-based fraud detection capabilities with a focus on anomaly detection and sequence analysis. C: dafu@masterfabric.co

ML-powered FastAPI system for detecting fake product reviews with sentiment analysis

Production MLOps pipeline for fraud detection with automated testing, monitoring, and zero-downtime deployments

Ambriel Anti Fraud & Aml Complience Documentation

FraudDetect-AI-with flask app - WebApp with AI models

A machine learning-based web application to detect financial fraud in real time. Users can input transaction details and get instant fraud predictions.

A deep learning-based web application for deepfake video detection, powered by the fine-tuned XceptionNet (Extreme Inception) model. The system allows users to upload videos for deepfake detection, processes them through the trained model, and provides results via a clean Django-based web interface.

🧠 ML training pipeline within our MLOps architecture. Manages the training, evaluation, and versioning of the CatBoost model.

Machine learning models for credit card fraud detection with baseline vs SMOTE comparison, evaluated using Recall, Precision, and F1-score.

A sample website integrating the ComplyCube SDK.

This project uses machine learning models like Logistic Regression, Random Forest, and XGBoost to detect fraudulent credit card transactions. It handles class imbalance using SMOTE and visualizes key fraud patterns through an interactive Power BI dashboard.

Machine learning model to detect fraudulent mass subscriptions by analyzing user behavior patterns like tab switching, typing speed, and navigation activity.

An AI-powered fraud detection system that uses machine learning to detect suspicious financial transactions in real time. Features include interactive dashboards, secure authentication, and comprehensive reporting for fintech risk analysis.

🎯 A comprehensive Bank Identification Number (BIN) intelligence platform for e-commerce fraud detection and prevention.

Machine learning system for credit card fraud detection using XGBoost with advanced feature engineering

Built an unsupervised Machine Learning pipeline to detect anomalies in Bitcoin transactions by selecting 19 key features from 700.

This project implements an end-to-end pipeline for detecting SMS spam using LLM-based embeddings (Mistral), interpretable machine learning, and risk-aware reporting.