bank-scam

🕵️ An autonomous, unsupervised ML (Isolation Forest) credit card fraud detection pipeline. It catches suspicious financial anomalies using relational data engineering and behavioral features without relying on a single fraud label. Meet "Sentinel," named after the legendary Transformers character. 🛡️🤖

End-to-end Banking Risk Analytics project using SQL, Python, Power BI, and Machine Learning to analyze loan risk and predict defaults.

This are my project based learning with Anti Fraud's Model implementation and Sentiment analysis based on headline's news with correlation in banks and economic's news.

Scotiabank x UofT Competition. Building an AI model using 6.1k+ real transaction data. Mock data has been added for this repo.

📊 Bank Statement Analysis platform for uploading, parsing and analyzing PDF, CSV and TXT bank statements.

Detecting Fraud Transactions using the Credit Card Fraud Detection dataset

MyAI Future Hackathon is a national AI innovation challenge organised by Google Developer Groups on Campus Universiti Teknologi Malaysia (GDGoC UTM) under the Build with AI initiative. The mission is to bring builders together to tackle real-world and national challenges across areas such as Agrotech, GovTech, Healthcare, Smart Cities, and FinTech

Real-Time AI-Driven Credit Card Fraud Detection System

MuleGuard is an AI-powered banking fraud investigation platform that detects suspicious mule-account behavior using LightGBM and Isolation Forest, with SHAP-based explainable risk analysis. Built with PySide6, FastAPI, Supabase, and Render.