Neural Malware Detector 🕷️

Project Overview

Neural Malware Detector is a machine learning powered web application built with Flask that classifies uploaded files as benign or malicious. It combines a Random Forest ensemble with a Recurrent Neural Network (RNN) to improve detection accuracy and reduce false positives, trained on samples sourced from VirusTotal.

🔍 Features

• File Upload Interface
  Users can upload any executable file, which is processed in real time.

• Dual‑Model Detection

  • Random Forest for quick, interpretable classification
  • RNN for deeper pattern recognition

• Visual Feedback
  Displays probability scores and a clear “Malicious” or “Benign” verdict on a dashboard.

🔗 Explore the Project

• GitHub Repository: Ashfaaq98/Neural-Malware-Detector