I work in forensic and computational linguistics, with a focus on stylometry, authorship analysis, and transparent AI-text detection.

Style Scalpel is a lightweight forensic stylometric AI-text detector for Windows.
It is designed as an interpretable research tool, not a black-box accusation system.

• Detector repository: https://github.com/m0333ism-dev/Style-Scalpel
• Feature graph maps: https://github.com/m0333ism-dev/Features-Graph-Map
• OSF archive / DOI: https://doi.org/10.17605/OSF.IO/2D39J

• Forensic stylometry
• AI-generated text detection
• Authorship analysis
• Explainable AI for linguistic evidence
• Feature-based text analysis
• Academic integrity and responsible detection

I am developing transparent stylometric tools that compare human-written and AI-generated text through interpretable linguistic features. My goal is to make AI-text detection more explainable, cautious, and suitable for research or forensic-style analysis.

My detector is an analytical aid. It should not be used as the only evidence for accusing a writer of using AI.