PhishGuard AI – Email Phishing Detection & Threat Analysis Platform

Project Overview

PhishGuard AI is a web-based cybersecurity platform designed to detect phishing, spam, and legitimate emails using Natural Language Processing (NLP) and Machine Learning techniques.

Key Features:
• Modern, responsive cybersecurity-themed user interface
• Email subject and body analysis
• AI-powered threat detection system
• Classification into three categories:

* Phishing
* Spam
* Safe/Legitimate
• Real-time analysis results with risk scores
• Threat indicators and suspicious keyword detection
• Security recommendations and mitigation tips
• Sample email testing section for demonstrations
• Terminal-style dashboard with professional animations

Technical Requirements:
• Frontend: React.js with responsive design
• Backend: Node.js and Express.js
• Machine Learning Model: Logistic Regression
• NLP Processing:

* Text cleaning
* Tokenization
* Stop-word removal
* TF-IDF vectorization
• REST API integration between frontend and backend
• Email analysis results displayed in a clean dashboard

Expected Workflow:

1. User enters email subject and body.
2. System preprocesses text using NLP techniques.
3. TF-IDF converts text into numerical features.
4. Machine Learning model predicts threat category.
5. Results display classification, confidence score, suspicious keywords, and security recommendations.

Additional Features:
• Clear and Analyze buttons
• Loading animations during processing
• Sample phishing, spam, and safe email examples
• Mobile-friendly interface
• Professional cybersecurity branding
• Scalable architecture for future AI model improvements

Goal:
Develop an accurate, user-friendly AI threat analyzer that helps users identify phishing and malicious emails before they become security threats.