Optimization application for Android which cleans Junk files, wipes cache and boosts performance.

fully customizable, Linux-based security distribution for Android malware analysis

This project aims to build an effective classification model to classify a mobile application as Benign or Malware. To do so, we'll evaluate multiple classification models using different metrics and select the best model with better performance for our dataset. Finally, we deployed our model as a REST API using FastAPI.

Contains in our project: Android malware classification with grayscale image representation of android malware approach using KNN

This project is dedicated to malware detection in Android files using Machine Learning algorithms for prediction.