Kavach AI - Antivirus Based on Machine Learning

Welcome to Kavach AI, an advanced antivirus solution powered by cutting-edge machine learning algorithms. This project aims to detect and mitigate malware threats by leveraging Python's powerful libraries and a robust Django-based GUI.

Table of Contents

• Project Overview
• Features
• Installation
• Tech Stack

Project Overview

Kavach AI is an innovative antivirus system designed to protect your systems against a wide range of malware threats. By employing machine learning, Kavach AI offers proactive threat detection that adapts to new and evolving threats, making it more effective than traditional antivirus solutions.

Features

• Machine Learning-based Detection: Uses ML models to identify both known and unknown malware.
• Hashing Techniques: Compares file hashes against a database of known malware signatures for quick identification.
• Heuristic Analysis: Detects suspicious behavior patterns to identify previously unseen threats.
• User-friendly Interface: Built using Django to provide an easy-to-navigate GUI.
• Real-time Protection: Monitors system activity and prevents malicious files from executing.

Tech Stack

• Programming Language: Python 3.8+
• Framework: Django 3.2+ (for GUI and backend)
• Machine Learning Libraries:
• Scikit-learn 0.24+
• TensorFlow 2.5+
• Pandas 1.3+
• **NumPy **1.21+
• Hash Technique: SHA-256 hashing to identify known malicious files.
• Heuristic Approach: Detects abnormal system behavior or file attributes to identify potential new threats.

Installation

Prerequisites

Ensure you have the following installed on your system:

• Python 3.8+
• Django 3.2+
• pip (Python package installer)

Clone the Repository

git clone https://github.com/thechiranjeevvyas/kavach-ai-using-ml.git
cd kavach-ai