AI-Powered Phishing Email Detection

Project Overview

Machine learning classifier that detects phishing emails using NLP feature extraction and Random Forest algorithm. Achieves 92% precision and 90% recall on validation data.

Status: Production Ready

Key Metrics

Metric	Value
ROC-AUC Score	0.92+
F1-Score	0.91
Precision	92%
Recall	90%

Files

• phishing_detector.py - Main ML classifier
• requirements.txt - Python dependencies
• sample_data.csv - Training dataset
• README.md - This file

Quick Start

1. Install Python Libraries

pip install -r requirements.txt

2. Run the Detector

python phishing_detector.py

How It Works

• Uses Random Forest classifier (100 trees)
• Extracts text statistics (character count, uppercase ratio)
• Applies TF-IDF vectorization (1000 features)
• 5-fold cross-validation for validation

Test with Your Own Email

Edit phishing_detector.py and change:

test_email = "Your email text here"

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Author: Bhaavya Seeta Pradhani Status: Production Ready