This n8n workflow streamlines the process of evaluating candidate profiles via PDF analysis, question-based assessment, and data aggregation. The process begins with a Webhook trigger to receive candidate data, which is then searched and processed from Google Drive and Sheets. Candidate PDFs are downloaded and extracted for analysis. Using a language model, the workflow analyzes the content against predefined questions and criteria, scoring the candidate’s experience and performance. The results are parsed, structured, and finally compiled into a comprehensive evaluation report stored in Google Sheets. This setup is ideal for HR teams seeking an automated, consistent method to evaluate and document candidate qualifications based on uploaded resumes and interview data.
Automated Candidate Evaluation and Report Generation
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmOllama, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, extractFromFile, googleDrive, googleSheets, merge, respondToWebhook, splitInBatches, webhook |
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