Handling Job Application Submissions with AI and n8n Forms

This n8n template leverages n8n's multi-form feature to build a 2 part job application submission journey which aims to eliminate the need for applicants to re-enter data found on their CVs/Resumes. 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 else the applicant is asked to reupload. 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

Help me set up the n8n workflow "Handling Job Application Submissions with AI and n8n Forms" (https://n8n.io/workflows/2579). It uses: Airtable, HTTP Request, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser, Text Classifier. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.