A machine learning project to detect credit card fraud using the Kaggle Credit Card Fraud Detection dataset. Implements data analysis, modeling, and ethical considerations.

FraudGuard - Browser Extension

FraudGuard backend service for the browser extension

A Financial Analysis and Fraud Detection Tool

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

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A collection of PowerShell scripts to utilize 3rd party APIs and research IPs, URLs, and Domains

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FraudGuard is a fraud detection system crafted in Jupyter Notebook. Harnessing machine learning, it identifies and prevents deceptive activities. Ideal for enhancing security in financial transactions and online platforms. Build a safer digital environment with FraudGuard!

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Designed and developed a responsive Fraud Detection project website using Data Science

Proactive AI Agent System for Telecommunications Fraud Prevention

"CreditGuard: Detecting Credit Card Fraud with Clustering & Classification - Analyzing European bank data to enhance security."

FraudGuard Pro is an advanced AI-powered web application designed to detect fraudulent transactions in real-time using multiple machine learning models. This application provides financial institutions and payment processors with a powerful tool to identify and prevent fraudulent activities.

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FraudGuard is an AI/ML-based speaker identification system designed to enhance cybersecurity by preventing voice-based fraud, such as phising and unauthorized access. It integrates fraud detection using voice biometrics.

Backend for FraudGuard Chrome Extension

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Production MLOps pipeline for credit card fraud detection — LightGBM, Airflow, Mlflow,Docker,Kubernetes

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FraudGuard: Financial Fraud Detection System

build-a-thon project

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Fraud Detection System : machine learning-based application designed to detect fraudulent financial transactions in real time. It leverages an XGBoost model trained on transactional data and addresses class imbalance using SMOTE (Synthetic Minority Oversampling Technique).

FraudGuard Labs: AI flags suspicious wallets, smart contracts freeze & log actions securely on QIE Testnet.

FraudGuard AI is a multi-agent AI web application built to help victims of UPI/digital payment fraud in India respond immediately after being scammed — before the money moves further and becomes unrecoverable.

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