Automated ignitable liquids classification was achieved with machine learning and rule-based methods. Machine learning with Orange software classifies ignitable liquid profiles via image analysis. Rule-based Python framework simulates manual analysis in identifying and classifying GC–MS profiles. Python framework was more effective as it identifies specific compounds and characteristic matrices. The automated processes serve as rapid-screening and added verification tools in forensic analysis.
