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🔒 Welcome to our detailed walkthrough of the *Crypto-Mining Malware Detection System* project! In this video, I explain step by step how we designed and implemented a complete cybersecurity project in Python that detects hidden cryptocurrency miners (cryptojacking). 👉 What’s inside this video : 1) Introduction & Problem Statement 2) Why Cryptojacking is Dangerous 3) Motivation & Project Overview 4) Code Walkthrough (utils.py, file_scanner.py, process_monitor.py, network_monitor.py, ml_model.py, main.py) 5) Live Demo of the GUI (File Scan, Process Monitor, Network Monitor, ML Lab) 6) Tips for Juniors, Extensions & Future Scope 7) Conclusion & Key Takeaways ⚡ Key Features of this Project: ✔ File Scanner → detects miner signatures like "xmrig", "stratum" ✔ Process Monitor → flags high CPU/memory usage processes ✔ Network Monitor → identifies connections to known mining pool servers ✔ ML Lab → demonstrates classification using Random Forest, SVM & Logistic Regression ✔ PyQt6 GUI → modern dashboard with threat meter, live CPU chart, alerts 🛠️ Tech Stack Used: Python 3.x PyQt6 (GUI) psutil (process monitoring) scikit-learn, numpy, pandas (ML models) matplotlib (charts) 📂 Logs & Results: All detections are stored in `detection.log` with timestamps. 💡 Who should watch this? Juniors/new learners looking for Python projects Students searching for cybersecurity project ideas Anyone interested in malware detection concepts ⚠️ Note: This project is built for educational purposes. Always test in a safe environment and follow cybersecurity ethics. 🔔 Don’t forget to *Like, Share & Subscribe* for more project tutorials and guides!