Open-access machine learning pipeline for high-throughput chemometric screening of precursor impurities. Restores tracking determinism for illicit synthetic networks across West African transit nodes (Seme Border, Apapa Port) using optimized Random Forest architectures with 100.00% target routing accuracy.
# Predictive-Chemical-Forensic-Intelligence-
Open-access machine learning pipeline for high-throughput chemometric screening of precursor impurities. Restores tracking determinism for illicit synthetic networks across West African transit nodes (Seme Border, Apapa Port) using optimized Random Forest architectures with 100.00% target routing accuracy.
# Predictive Chemical Forensic Intelligence Framework
Computational pipeline for high-throughput screening of precursor impurity profiles in West Africa.
## Execution Order
1. Run structure optimization: `python pipeline/forensic_engine.py`
2. Extract forensic descriptors: `python pipeline/forensic_passport.py`
3. Generate sample matrix: `python pipeline/forensic_informatics.py`
4. Train/test classifier: `python pipeline/forensic_ml.py`
5. Generate publication flowchart: `python pipeline/forensic_flowchart.py`