Automated Candidate Processing Pipeline using n8n

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This comprehensive n8n workflow automates the end-to-end process of candidate management, from application submission to interview scheduling and evaluation. It initiates with a form submission trigger, uploads and extracts data from uploaded CV files, then leverages OpenAI’s language models for extracting applicant details, summarizing profiles, and evaluating role fit. The data is systematically stored in Google Sheets, enabling scheduled daily processing of resumes to select suitable candidates for assessment. It also manages assessment invitations, collection, and evaluation, including AI-powered semantic analysis for role fit. The workflow includes multiple triggers, such as Typeform submissions and Calendly bookings, for an integrated interview scheduling system. Notifications via email and Slack keep recruitment teams informed at each step, while automated updates to Google Sheets track applicant statuses. This automation enhances efficiency, reduces manual effort, and ensures a seamless recruitment experience, perfect for HR teams seeking to streamline their hiring pipeline.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, calendlyTrigger, emailSend, extractFromFile, formTrigger, googleDrive, googleSheets, googleSheetsTrigger, if, noOp, scheduleTrigger, slack, splitInBatches, stickyNote, switch, typeformTrigger

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