from Project Matris

    LibreAV is an attempt to detect malware on Android devices using a machine learning approach that is powered by TensorFlow. We use a two-layer neural network trained with a carefully selected set of features. The neural network is tuned in such a way that it performs efficiently on mobile devices where computational resources are limited. Tests show that LibreAV performs efficiently and effectively even on low-end mobile devices. With LibreAV, you can scan all the installed apps in your device in a matter of seconds. It also has a realtime scan feature which alerts you whenever an app is installed or updated.

⚠️⚠️ PLEASE BE AWARE THAT LIBREAV IS STILL IN ITS EARLY STAGES OF DEVELOPMENT AND MAY CONTAIN A LOT OF FALSE POSITIVES IN PREDICTION. THIS PROJECT IS DEVELOPED FOR EDUCATIONAL PURPOSES ONLY AND WE MAKE NO GUARANTEE THAT THE OUTPUT PRODUCED BY LIBREAV IS ABSOLUTELY CORRECT. SO PLEASE DO NOT JUDGE OTHER APPLICATIONS USING THE OUTPUT OF LIBREAV ALONE.⚠️⚠️