Zum Inhalt springen
NEUMarktplatz und trig8n Agent: Verkaufen Sie, was Sie bauen, und erhalten Sie Pläne und Änderungen, die getestet sind, bevor Sie sie sehen. Neuigkeiten ansehen

Bibliothek / Formulare & Umfragen

Formulare & Umfragen

Kandidatendaten aus hochgeladenen Lebenslauf-PDFs in Airtable extrahieren

Nimmt Lebenslauf-PDFs über ein n8n-Formular entgegen, prüft sie mit einem Textklassifikator, extrahiert die Kandidatendaten mit einem LLM und speichert sie bei jeder Einreichung in Airtable.

Was sie bewirkt

## Try It Out! ### This n8n template combines form file uploads with AI components to create a simple but effective job application submission flow. It's a perfect low-cost solution without the bells and whistles of the surface yet is highly advanced with its use of AI. ### How it works * The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs. * The PDF is validated using the text classifier node to determine if it is a valid CV. * A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy. * Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows. * Finally, a second form trigger is used to allow the applicant to amend any of the generated application fields. ### Need Help? Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }} Happy Hacking!

Die Schritte

  1. Extract from File
  2. OpenAI Chat Model1
  3. Structured Output Parser
  4. OpenAI Chat Model2
  5. Step 1 of 2 - Upload CV
  6. Save to Airtable
  7. Classify Document
  8. Upload File to Record
  9. Form Success
  10. Save to Airtable1
  11. Step 2 of 2 - Application Form
  12. Application Suitability Agent
  13. File Upload Retry
  14. Redirect To Step 2 of 2

Insgesamt 15 Schritte.

Ähnliche Automatisierungen