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 AS for processing. For our demo, we used Airtable because we could attach PDFs to rows. - Finally, a second form trigger is used for the actual application form. However, it is prefilled to save the applicant's time and allow them to amend any of the generated application fields. ## How to use - Ensure to change the redirect URL in the **form ending** node to use the host domain of your n8n instance. ## Requirements - OpenAI for LLM - Airtable to capture applicant data ## Customising the workflow - The application form is pretty basic for this demonstration but could be extended to ask more in-depth questions. - If it fits the job, why not ask applicants to upload portfolio works and have AI describe/caption them.

Platform

n8n

Category

HR Management

Price

$14.99

Creator

Jimleuk

• form
• airtable
• stickyNote
• formTrigger
• httpRequest
• extractFromFile
• chainLlm
• lmChatOpenAi
• textClassifier
• outputParserStructured