FraudGuard: AI-Powered Fraud Risk Classification System

This video demonstrates FraudGuard, an AI-powered fraud detection and risk classification platform designed to help investigators identify suspicious transactions faster and more accurately.

The demonstration shows how transaction data is uploaded into the system, processed through the Fraud Risk Classification System (FRCS), analyzed using machine learning models, and returned with fraud probability scores, risk classifications, and visual analytics.

Key Features: • Fraud risk classification • Transaction probability scoring • Pattern recognition and anomaly detection • Interactive fraud analytics dashboard • Human-in-the-loop decision support • Responsible AI safeguards to reduce false positives

FraudGuard does not replace human investigators. Instead, it provides intelligent recommendations and prioritizes high-risk cases, allowing experts to make faster and more informed decisions.

Developed for the USAII Global AI Hackathon 2026.

AI #MachineLearning #FraudDetection #ResponsibleAI #DataScience #FraudGuard #USAIIHackathon

Built With

• classification
• csv
• data
• dataset
• engineering
• feature
• fraud
• jupyter
• learning
• machine
• matplotlib
• models
• numpy
• pandas
• plotly
• preprocessing
• processing
• python
• scikit-learn
• scoring
• seaborn
• streamlit
• system