Ferramenta para auxiliar nos testes de validação da mensageria ISO8583

Secure C++ banking system with encrypted authentication, multi-currency support, and robust transaction processing

Finomaly is an open-source Python library designed to detect unusual transactions and anomalies in financial data. It supports both rule-based and machine learning-based methods.

Monitor your income, and expenses with little effort. Visualize your transactions with beautiful charts!

Compute security fields for IFSF H2H financial transaction messages

Personal Butler Making My Life Easier

A stdlib-only ISO-8583 messaging and payment-switching framework for Go — type-safe field access, zero-copy decode, a pluggable codec catalog, and goroutine-native concurrency.

Swift package for iOS/macOS/Linux that helps to create and parse ISO8583 financial transaction messages

THONG NGO BitcoinVN BTM

A C++17 electronic wallet simulation featuring dual console applications for card management and remote transactions. Supports P2P transfers, persistent CSV storage, and transaction logging.

Alura Challenge Back-End. Web application to analyse and investigate financial transactions. The goal is to learn web development in practice, with a complete web application that supports file upload, access control and data analysis. This project is split in Docker containers, to facilitate deployment. Users are able to upload spreadsheets wit…

SQL-based fraud analysis of a 6M+ financial transaction dataset using PostgreSQL. The project follows audit-style workflows, preserves raw data integrity, applies performance indexing, and identifies systemic fraud patterns, balance inconsistencies, and high-risk transaction channels.

This repository contains the University of Wah's Fee API, designed to facilitate secure and efficient financial transactions, including user authentication, bill inquiry, and bill payment. Built with ASP.NET Core 8, this API uses JWT for authentication, ensuring secure interactions.

A robust and flexible starting point for financial transactions management in PostgreSQL.

📊 Detect anomalies in financial transactions with Finomaly, a modular, open-source Python library supporting both rule-based and machine learning methods.

**Payment Processing App** A Python app with a GUI using `ttkbootstrap`, featuring abstract classes and methods for managing transactions with PSPs like Sadad, Sepa, and Asan Pardakht.

Quantum-Based Fraud Detection (QBFD) is a quantum algorithm designed to detect fraudulent activities in financial transactions using quantum computing principles.

Real-time financial transaction fraud detection web app using machine learning to predict fraud probability based on user and transaction data.

Real-time fraud detection system for financial transactions using Change Data Capture (CDC), Apache Kafka, Debezium, MySQL, and Spring Boot. Monitors user activity across locations to identify suspicious patterns and block fraudulent accounts.

The purpose of this project is to detect anomalies in synthetic data, and generate an LLM based explanation on flagged transactions. The vision is to increase the triage efficiency through explainable insights on suspicious transactions.