Portfolio Detail

Keylogger Application

A mobile security application built with Python Django for the backend and JavaScript with React Native for the frontend, designed to protect users from cyber threats. The app features seamless user authentication, including Google Sign-In, and offers advanced functionalities such as keylogger detection using a Random Forest Machine Learning Model with 88-90% accuracy, allowing users to scan mobile files for potential keyloggers. It also includes malware detection, enabling users to identify harmful files on their devices, and phishing URL detection, where users can enter any URL to check its safety. Additionally, the app provides an editable profile view for a personalized user experience. With machine learning integration, the app delivers reliable and proactive threat detection, ensuring a secure mobile environment. This project highlights expertise in full-stack development, machine learning integration, and cross-platform application design, offering an innovative solution to modern cybersecurity challenges.