
A smart phishing website detector built with Extreme Learning Machine (ELM) that predicts the legitimacy of websites using URL analysis and advanced features.
Python 3.8+ | Flask | HTML/CSS (Bootstrap) | Machine Learning (Extreme Learning Machine - ELM) | Jupyter Notebook | h5py, pickle, scikit-learn
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.
This project is ideal for:
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.
Add any of these professional upgrades to save time and impress your evaluators.
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
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.
Fully customized to match your college format, guidelines, and submission standards.
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.