Phishing Email Detection System

Description

A machine learning-based system designed to detect phishing emails. It analyzes email content, checks for suspicious URLs, and identifies phishing indicators using a trained model.

Features

• Analyzes email content for phishing indicators
• Extracts URLs and checks against known phishing domains
• Detects phishing and genuine keywords
• Classifies emails as Phishing or Safe
• Provides risk level assessment

Installation

1. Clone the repository:

git clone https://github.com/Kushal129/Phishing_Email_Detection_System.git
   
cd phishing-email-detection-system

2. Set up a virtual environment:

python -m venv venv

3. Install the required packages:

pip install -r requirements.txt

Usage

1. Run the Flask application:

python app.py

2. Send a POST request to /analyze-email with the email content.

Notes

• Make sure to create a requirements.txt file that lists all dependencies (Flask, Flask-CORS, NLTK, scikit-learn, pandas) for easy installation.

Feel free to make any additional adjustments as needed!