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Скачать или смотреть AI-Based Email Phishing Detection System with 99.9% Accuracy | PhishGuard Project Overview

  • codeAj Marketplace
  • 2025-07-18
  • 406
AI-Based Email Phishing Detection System with 99.9% Accuracy | PhishGuard Project Overview
AI phishing detectionphishing email detectorPython projectFlask web appcybersecurity projectmachine learning projectemail securityScikit-learn projectSVM classifierTF-IDF vectorizationphishing detection toolAI security toolPython Flask projectBootstrap 5 projectreal-time email detectioncybersecurity student projectanti-phishingphishing scam preventionPhishGuardemail analysis AIemail threat detection
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Описание к видео AI-Based Email Phishing Detection System with 99.9% Accuracy | PhishGuard Project Overview

Protect your inbox with advanced AI!
Presenting PhishGuard – an intelligent phishing email detection tool built with Python, Flask, and Scikit-learn. This video gives you a complete preview of the PhishGuard project in action. If you want this project for yourself (full code, reports, documentation), you can WhatsApp me at +918603862290 or directly buy from the link below.

👉 Buy this project now:
https://projects.codeaj.com/projects/phish...

About PhishGuard:

PhishGuard is a cutting-edge cybersecurity web application designed to protect users from sophisticated phishing attacks using machine learning. Some highlights:

🤖 AI-Powered Analysis: Trained on 82,000+ emails for highly accurate phishing detection

⚡ Real-Time Results: Analyzes emails in less than 500ms

📊 Detailed Reports: Get confidence scores, phishing probability, and clear recommendations

🔒 Privacy Focused: No data stored at any stage—your privacy is protected

📱 Responsive & Modern: Seamless performance on desktop and mobile, modern UI with Bootstrap 5

🎯 Extremely Accurate: Achieves 99.9% accuracy in flagging phishing emails

Ideal For:

Individual users verifying suspicious emails

Companies integrating advanced security tools

Developers building anti-phishing features

Students and researchers in cybersecurity/AI

Tech Stack Used:

Python, Flask, Scikit-learn, TF-IDF, SVM

HTML5, CSS3, JavaScript, Bootstrap 5, Font Awesome, REST API

What You Get:

Complete project source code

Full documentation (Project Report, Research Paper, Presentation, Custom Reports)

Easy setup process

Customization support

📲 For purchase and support, WhatsApp: +918603862290
🌐 Or visit: https://projects.codeaj.com/projects/phish...

Don’t forget to Like, Share & Subscribe for more awesome AI and cybersecurity projects!

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