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Updated README.md
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CODE/config.json

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"sysinfo.py",
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"sys_internal.py",
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"tasklist.py",
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"test.py",
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"tree.bat",
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"window_feature_miner.ps1",
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"wmic.py",
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"_extra.py",
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"_health.py",
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"_hide_my_tracks.py",
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"_Test.py",
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"_wrapper.py",
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"_zipper.py",
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"__lib_actions.py",
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"__lib_log.py",
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"__Test__.py",
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"SysInternal_Suite\\psfile.exe",
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"SysInternal_Suite\\PsGetsid.exe",
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"SysInternal_Suite\\PsInfo.exe",

README.md

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3. **Setup Logicytics**: Navigate to the `SETUP` folder and run the `setup.py` script using the following command,
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This will install the required dependencies and create any necessary files for full functionality.
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```powershell
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pip install -e .
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pip install -r requirements.txt
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```
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4. **Run Logicytics**: Navigate to the `CODE` folder and run `./Logicytics.py` more info below.
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4. **Run Logicytics**: Navigate to the `CODE` folder and run `python _wrapper.py` more info below.
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### Basic Usage
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1. **CLI**: The most preferred method, all in your command line! More feedback can be given, to use it just open `CMD`
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in the `CODE` directory, and run `./Logicytics.py`
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2. **GUI**: Still in beta, GUI is not recommended unless you are unfamiliar with CLI, the GUI automatically constructs
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your command and executes it from a basic window. To use this feature, go to the `CODE` directory and run
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the `GUI.py` file, or type in the terminal `./GUI.py`.
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in the `CODE` directory, and run `python _wrapper.py`.
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## 🔧 Configuration 🔧
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- Exclude certain files/data from the data collection process.
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- Adjust logging levels for detailed insights.
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More info about the flags on the wiki.
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## 🚀 Advanced Usage 🚀
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### Custom Scripts
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Extend Logicytics' functionality by creating custom Python scripts.
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Place these scripts in the `CODE` directory.
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Place these scripts in the `MODS` directory.
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Logicytics will automatically execute these scripts during the data collection process,
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enabling tailored data extraction (When using the `--mods` flag).
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enabling tailored data extraction (When using the `--modded` flag).
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## 🛑 Troubleshooting 🛑
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### Support Resources
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Consult the `.md` log file in the `ACCESS/LOGS` directory for detailed error logs.
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Consult the `.log` log file in the `ACCESS/LOGS` directory for detailed error logs.
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Engage with the community through GitHub issues for assistance and feedback.
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## 📊 Data Analysis 📊

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