Structured Resume Data in Node.js: From PDF Upload to Screenable Profiles

Описание и применение

Пайплайн на Node.js преобразует неструктурированные PDF‑резюме в структурированные профили, позволяя стандартизировать поля, оценивать кандидатов и формировать короткий список для дальнейшего рассмотрения.

Задача

Raw PDF resumes lack consistent fields, hindering reliable candidate screening.

Результат

The pipeline transforms unstructured PDF resumes into structured, screenable profiles, enabling consistent candidate scoring and efficient shortlisting.

Рабочий процесс

• Accept the PDF upload and store the original securely.
• Extract text from the PDF and map it into a PostgreSQL schema.
• Normalize skills and job titles against a controlled vocabulary.
• Score the candidate against the open role rubric.
• Hand a shortlist to humans, optionally after an AI phone or video screen.

Доказательства

Raw PDF resumes are terrible inputs for consistent screening.

Источник

On a Next.js + Node.js stack (no Python required), a solid flow looks like:

Источник

React, Next.js, Node.js, PostgreSQL, OpenAI, Redis, and Gemini.

Источник