Automated Phishing Detection System

Project Overview:
In this project, we developed an automated phishing detection system that leverages machine learning to identify phishing attempts across various communication channels such as emails, websites, and SMS. The system analyzes text patterns, URL structure, and sender authenticity to classify and block malicious content in real-time.

Objectives:

  • Build a machine learning model to detect phishing emails and fraudulent websites.
  • Integrate the system with real-time email and web traffic for automatic blocking.
  • Enhance user awareness through notifications and security alerts.

Technologies Used:

  • Python & TensorFlow for machine learning
  • NLP (Natural Language Processing) for text analysis
  • Scikit-learn for feature extraction and model training
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