AI-Powered Phishing Website Detection using ELM - Secure Web Validator

AI-Powered Phishing Website Detection using ELM - Secure Web Validator

A smart phishing website detector built with Extreme Learning Machine (ELM) that predicts the legitimacy of websites using URL analysis and advanced features.

Technology Used

Python 3.8+ | Flask | HTML/CSS (Bootstrap) | Machine Learning (Extreme Learning Machine - ELM) | Jupyter Notebook | h5py, pickle, scikit-learn

399

1999

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Project Files

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Overview

Protect your users and yourself from fraudulent websites with this powerful Phishing Website Detection Web Application. Using Extreme Learning Machine (ELM), this system offers quick and intelligent classification of phishing websites. Whether you're a cybersecurity student, researcher, or enthusiast, this project is a practical showcase of applying machine learning for real-world security.

Key Features

  • 🔍 URL-based phishing detection system
  • 💡 Advanced input mode for custom feature entries
  • ⚡ Real-time predictions with confidence score
  • 📱 Responsive design – works across mobile and desktop
  • 📘 Informative About page to explain detection methodology

Applications

  • 🛡️ Internet safety and web browsing protection
  • 🎓 Machine Learning & Cybersecurity academic projects
  • 💻 Integration into browser extensions or antivirus tools

Who Should Buy This?

This project is ideal for:

  • ✔️ Final-year students in Computer Science or Cybersecurity
  • ✔️ Beginners exploring ML in security
  • ✔️ Developers building safe browsing tools

Why Choose CodeAJ?

At CodeAJ Marketplace, you not only get the source code at just ₹99 but also have options for complete setup, explanation, and report preparation at affordable add-on prices. With 500+ happy students, you're in the right place to accelerate your project success.

Extra Add-Ons Available – Elevate Your Project

Add any of these professional upgrades to save time and impress your evaluators.

Project Setup

We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).

Source Code Explanation

1-hour live session to explain logic, flow, database design, and key features.

Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.

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Custom Documents (College-Tailored)

  • Custom Project Report: ₹1,200
  • Custom Research Paper: ₹800
  • Custom PPT: ₹500

Fully customized to match your college format, guidelines, and submission standards.

Project Modification

Need feature changes, UI updates, or new features added?

Charges vary based on complexity.

We'll review your request and provide a clear quote before starting work.

Project Files

⭐ 98% SUCCESS RATE
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  • Documentation
  • Presentation Prep
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