π Detecting Phishing Websites with Machine Learning π
Phishing websites continue to pose a significant threat to internet users, leading to data breaches and financial losses. To combat this menace, weβve developed an innovative machine learning solution that can identify phishing websites with remarkable accuracy! π
Our project aims to enhance online security by leveraging state-of-the-art machine learning algorithms. The model has been trained on a diverse dataset containing features extracted from both legitimate and phishing websites, enabling it to discern subtle patterns and characteristics that set phishing platforms apart. π―
π§ How it Works:
βοΈ Tech Stack: Our project is built using Python, leveraging popular libraries like Scikit-learn and TensorFlow for machine learning tasks. Weβve also implemented a user-friendly web interface with Flask, allowing anyone to easily verify URLs and stay protected against phishing attempts.
π Join Us in the Fight Against Phishing: We believe that cybersecurity is a collective responsibility, and we welcome contributors to join our mission of creating a safer online environment. Whether you have expertise in machine learning, web development, or simply a passion for cybersecurity, thereβs a place for you in our open-source community! π€
π Check out our GitHub repository to access the code, contribute to the project, or use the application to safeguard yourself and others from falling victim to phishing scams. Together, letβs build a stronger defense against cyber threats! πͺ
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Skills: machine learning , python