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AI-Powered Malware Detection
Train a machine learning model to classify benign vs. malicious files. Implement an interactive web dashboard using React + Django.
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All Projects(10 projects)
A Telegram chatbot powered by Llama 3.1 and LangChain RAG, providing Linux documentation and security tool usage guidance.
A facial recognition system built using a Raspberry Pi, OpenCV, and Python for security and access control applications.
A series of Ducky Scripts designed to exploit vulnerabilities by executing PowerShell-based malware and payloads via USB Rubber Ducky.
A web scraper that collects and analyzes stock market data from various financial websites, providing real-time insights and trends.
A Python-based automation tool for managing and scheduling posts across multiple social media platforms.
Blockchain security audit tool for smart contracts with automated vulnerability detection.
Train a machine learning model to classify benign vs. malicious files. Implement an interactive web dashboard using React + Django.
Deploy a honeypot server that logs attacks and shows data in a React dashboard with D3.js for visualizations.
Create a Dockerized malware analysis lab that runs suspicious files in an isolated VM and uses Suricata IDS + YARA rules for detection.
Automate updating computers via network using PowerShell Wake on LAN for Active Directory.