mayega-dev/MACHINE-LEARNING-ALGORITHMS-TO-DETECT-PHISHING-IN-THE-FINANCE-SECTOR-

Machine learning-based phishing detection system for the financial sector. Detects malicious emails, URLs, and websites in real time, optimized for low-resource environments with high accuracy. MACHINE LEARNING ALGORITHMS TO DETECT PHISHING IN THE FINANCE SECTOR This project focuses on developing a **machine learning-based phishing detection system** designed for the financial sector, especially in **resource-constrained environments like Uganda**. With the rapid growth of digital financial services such as mobile banking and online transactions, phishing attacks have become a major threat. These attacks trick users into revealing sensitive information like passwords, bank details, and personal data. Traditional detection methods, such as blacklists and user awareness, are not effective against modern and sophisticated phishing techniques. This system uses **machine learning algorithms** to automatically detect phishing attempts by analyzing: * Email content and sender behavior * Suspicious URLs and domain patterns * Website structure and characteristics ### 🔍 Key Features * Real-time phishing detection * Offline functionality for low internet environments * Lightweight and cost-effective design * Explainable AI (clear reasons why something is flagged as phishing) * User-friendly interface for both technical and non-technical users * API support for integration with existing systems ### 🎯 Project Goal The main goal is to build a **reliable, scalable, and intelligent phishing detection system** that reduces financial fraud, improves cybersecurity awareness, and protects both institutions and customers. ### 🌍 Impact This project is designed to: * Reduce phishing-related financial losses * Improve trust in digital financial services * Support microfinance institutions and similar organizations * Provide a solution adaptable to other developing countries