viraj-gavade/network-security-machine-learning-project

This repository is a network-security threat-classification ML product. Its main workflow ingests MongoDB records, validates and transforms them, trains and evaluates candidate classifiers, and saves deployable artifacts; FastAPI provides training and file-based prediction entry points. The README documents experiment tracking and optional S3 storage, while sampled source confirms the S3 sync and MLflow calls. Serving internals are only partly visible in the excerpts, so those links are limited to the app’s indexed imports and README claims.