This n8n workflow streamlines the interview preparation process by automatically generating tailored questions based on a candidate’s resume, job description, and interview round. It begins with a form trigger where hiring managers submit candidate details, including resumes, the job role, and interview stage. The workflow extracts and analyzes candidate information from the uploaded PDF CV using AI-powered nodes. Concurrently, it retrieves the relevant job description PDF from Google Drive by matching the job role from a Google Sheet and extracts its content for analysis. Both candidate profile and job description are processed with GPT-4 to produce structured summaries. Based on the interview round (initial screening, technical, managerial, or final leadership), it generates customized interview questions and evaluation criteria. The results are consolidated into a detailed interview prep report with visual formatting, which is then emailed to the hiring team for review. This automation enables recruitment teams to save time, improve interview quality, and ensure consistent candidate evaluation across roles and rounds.
Automated Candidate Interview Preparation Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, emailSend, extractFromFile, formTrigger, googleDrive, googleSheets, merge, set, stickyNote |
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