Portfolio Detail

Malware Detection

Malware Detection is a web application built with Django for the backend and HTML templates for the frontend, designed to enhance cybersecurity by providing robust malware and network scanning capabilities. The platform allows users to upload files and determines whether a file is malware using a Random Forest Machine Learning Model with 90% accuracy. It includes user authentication features, enabling users to sign up, log in, and securely access the platform. Additionally, the application offers a port scanning tool where users can input a URL to check which ports are open or closed, helping identify potential vulnerabilities. This project demonstrates expertise in backend development, machine learning integration, and cybersecurity, delivering a practical solution to enhance user safety and security.