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This study proposes an intelligent URL phishing detection system that uses machine learning algorithms to identify and classify phishing URLs. The system extracts features from URLs and uses a supervised learning approach to train a model to detect phishing URLs. Experimental results demonstrate the effectiveness of the proposed system in detecting phishing URLs with high accuracy. This system has the potential to provide real-time protection against phishing attacks and enhance online security.\n\nKeywords: URL Phishing Detection, Machine Learning, Supervised Learning, Online Security, Cybersecurity, Phishing Attack Detection.\n\n### Project include: \n\n1. Synopsis\n\n2. PPT\n\n3. Research Paper\n\n4. Code\n\n5. Explanation video\n\n6. Documents\n\n7. Report\n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: +91 9310631437 (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### 💻 Youtube Channel: [Link](https://www.youtube.com/@computerscienceproject)\n\nMail/Message me for Projects Help 🙏🏻\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Furl-based-phishing-detection-using-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprojects-developer%2Furl-based-phishing-detection-using-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Furl-based-phishing-detection-using-machine-learning/lists"}