Thesis tool: stylometry + model ensemble for AI-assisted writing detection.

Single detectors miss a lot. Ensemble combines stylometry with a few transformer checks and a small meta-model so the thesis could compare approaches on real drafts.
API Gateway + Lambda for stylometric analysis
SageMaker Async Inference for GPU models (Binoculars, Fast-DetectGPT)
Multi-model calibration via stacking meta-learner
Why stack models?
Each method fails on different inputs. Combining them beat any one model in testing, especially on paraphrased text.
Why SageMaker async?
Lambda can't fit 7B models or a GPU. Async endpoints spin down when nothing's queued.