Phishing Email Detection — Project
Live demo available
Phishing Email Detection
An interactive phishing-analysis experience that makes explainable, rule-based checks easy to test.
Problem
What needed to be solved
Security logic is difficult to evaluate when it remains in a notebook or code file, and a black-box result gives users little reason to trust the decision.
Build
What I designed and implemented
I translated rule-based checks for suspicious content, URLs, and impersonation patterns into a simple workflow with immediate, understandable feedback, then packaged it as a live Hugging Face experience.
Result
What the project now proves
Reviewers can test the behavior directly, compare the interface with the source, and see where explainable rules are useful without implying a trained prediction model.
Contribution
Key contributions
- Turned rule-based phishing checks into an interactive workflow with visible feedback.
- Kept the security logic explainable instead of presenting a black-box score.
- Published both a live Hugging Face demo and a video walkthrough for easy review.
Context
Technical context
- Role
- Rule design, product structure, and interface implementation
- Timeline
- Academic build · 2026
- Last updated
- Apr 14, 2026
- Repository
- Phishing-Email-Detection