SwiftShield is a security-focused application developed as a thesis project at the University of Cebu - Lapu-Lapu and Mandaue (UCLM).
Its main goal is to detect and prevent phishing attacks using machine learning and AI models, providing a proactive defense against fraudulent websites, emails, and SMS.
- 🔍 Phishing Website Detection – AI-powered classification of URLs and suspicious sites.
- 📩 Email & SMS Analysis – Detects phishing attempts in messages and notifications.
- 🤖 AI-Driven Models – Uses multiple classification models to improve accuracy.
- 📊 Real-Time Monitoring – Scans user activity and alerts for potential threats.
- 🛡️ User-Friendly Interface – Simple, intuitive design for easy navigation and protection.
- Frontend: React Native (mobile app)
- Backend: Flask (Python API)
- Machine Learning: Scikit-learn, TensorFlow/Keras (for classifiers)
- Database: MongoDB (configurable)
- Cloud & Hosting: Render and Android APK for deployment
SwiftShield is built to help students, professionals, and organizations stay protected against phishing threats by combining artificial intelligence with practical security features.