Enterprise-collaboration exploration: an end-to-end 1D-CNN that deconvolves overlapping GC-MS signals of complex essential-oil mixtures and predicts the blend ratio of core raw materials — replacing manual expert peak-matching.

Approach & outcome

• Synthetic-data baseline: scaled from 10 → 87 monomers, all pairwise combinations → 74,820 samples.
• Reached ~99% identification accuracy on synthetic blind tests.
• Archived due to the lack of real enterprise data and a Sim2Real domain gap — a first-hand lesson that data quality is the crux of landing industrial AI.