Process Behavior Profiler is a local Python-based monitoring tool designed to analyze running processes in real time. It detects suspicious activities, high resource usage, and potential malware indicators — all while ensuring full data privacy with no cloud dependency.

• 🔎 Live Process Monitoring: Real-time display of all active system processes
• 📊 Resource Usage Detection: Highlights processes with high CPU or memory load
• ⚠️ Anomaly Flagging: Detects potentially suspicious names (e.g. crypto, miner)
• 🔒 Local-Only: All analysis is performed entirely on your local machine
• 🧰 Simple GUI: Interactive interface with live updates every 5 seconds

Make sure Python 3.10+ is installed on your system.

bash pip install -r requirements.txt

Run the profiler using:

bash python main.py

Once launched, it will:

• Display all processes in a table
• Highlight anomalies in red
• Update live every 5 seconds

process_behavior_profiler/ ├── main.py # Entry point ├── gui.py # GUI and interface logic ├── monitor.py # Data collection using psutil ├── detector.py # Basic anomaly detection logic ├── requirements.txt # Required Python libraries └── README.md # Project documentation

• Python 3
• psutil
• pandas
• tkinter (for GUI)

MIT License – Free to use, modify, and distribute.

This tool performs all processing locally. No data leaves your device.
It is fully privacy-compliant and GDPR-friendly.