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React Native
Python
Flask
MongoDB







An AI-driven detection and prevention system for phishing attacks designed to analyze and classify suspicious messages, links, and websites in real time.
Features
Phishing Website Detection
- AI-Powered URL Classification - Analyzes and categorizes URLs using machine learning algorithms
- Suspicious Site Identification - Detects phishing websites through pattern recognition
- Real-Time Threat Assessment - Evaluates website legitimacy before user access
- Domain Reputation Checking - Cross-references URLs against known threat databases
- Visual Similarity Detection - Identifies lookalike domains mimicking legitimate sites
Email & SMS Analysis
- Message Content Scanning - Analyzes text for phishing indicators and social engineering tactics
- Link Extraction & Verification - Identifies and validates embedded URLs in messages
- Sender Authentication - Verifies sender identity and email/SMS source legitimacy
- Notification Monitoring - Scans push notifications for malicious content
- Multi-Language Support - Detects phishing attempts across different languages
AI-Driven Detection Models
- Ensemble Classification - Combines multiple ML models for improved accuracy
- Natural Language Processing - Analyzes message semantics and linguistic patterns
- Feature Extraction - Identifies key phishing indicators from text and metadata
- Continuous Model Training - Adapts to new phishing techniques and attack vectors
- Confidence Scoring - Provides probability ratings for threat classification
Real-Time Monitoring & Protection
- Activity Tracking - Monitors user interactions with links and messages
- Instant Threat Alerts - Provides immediate warnings for detected phishing attempts
- Access Restriction - Blocks access to confirmed malicious websites and content
- Lock Screen Protection - Prevents unauthorized access during threat detection
- Comprehensive Logging - Records all scans and detections for audit trails
Highlights








Team
Miranda Lois Arriola
Project Manager
Earl Francis Ong
Lead Backend/AI Developer
Stephen Hans Amistoso
Backend Developer
Sheilmae Jean Furog
Frontend Developer
Via Gelig
Frontend Developer
John Michael Lim
Quality Analyst
Made with ❤️ by the SwiftShield Team!