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Technical Deep Dive

Production MLOps Pipeline

This quiz isn't just JavaScript logic. Under the hood, user answers are vectorized and parsed through a containerized FastAPI microservice. Responses are mapped using PCA and grouped via K-Means to dynamically adjust psychological weighting, tracked comprehensively via MLFlow.

flowchart TD A[Vanilla JS Client] -->|JSON Payload| B(FastAPI Endpoint) B --> C{Scikit-Learn Pipeline} C -->|1. Dimensionality| D[PCA] C -->|2. Clustering| E[K-Means] C -->|3. Inference| F[GaussianNB] F -->|Response| B C -.->|Metrics/Params| M[(MLFlow Tracking)] B -.->|Save State| P[(PostgreSQL Database)] style A fill:#4C1D95,stroke:#A78BFA style B fill:#065F46,stroke:#10B981 style M fill:#92400E,stroke:#F59E0B