AI-Powered Resume Screening and Behavioral Interview Assessment

• Automated Resume Parsing and Qualification Extraction: Extracts key information like education, job history, skills, and total experience from resumes.
• AI-Powered Job Description Matching: Compares candidate qualifications against job requirements to generate a suitability score and evaluation.
• AI Behavioral Interview Conduction: Utilizes ElevenLabs to conduct AI-driven behavioral interviews based on candidate data.
• In-depth AI Interview Analysis: Assesses candidate responses from the behavioral interview against defined criteria and provides an overall score.
• Notion ATS Integration: Updates a Notion Applicant Tracking System (ATS) with candidate data and AI assessments.
• Google Drive Integration: Stores audio recordings of interviews for future reference.
• Structured Output: Generates structured data for both resume screening and interview assessments.

1. Initiate Workflow: The process is triggered by an application submission (potentially via a webhook or a form, though not explicitly detailed in this snippet). The Application Data node captures initial information like job_code and date_time.
2. Resume Processing: The Upload CV node likely receives the resume file. The Extract_Audio node then processes this resume (though the naming Extract_Audio seems misplaced here and might be a remnant from another part of the workflow; fbba47e9-2e7c-42df-9da1-1893b238abc1 named Extract Resume is more relevant).
3. Applicant Qualification Extraction: The Applicant Qualifications node (4070358f-e169-40fb-8ba2-857149d8e37b) extracts structured data from the resume, such as educational qualification, job history, skills, and experience.
4. Applicant Summary Generation: The Applicant Summary node (b1313d9a-0d52-4387-b6b3-e1f9ed24b7ce) creates a concise summary of the extracted qualifications.
5. Job Description Retrieval and Summary: The Sticky Note6 (bbf2ff07-8a53-4ca7-8e21-08f3bffc3ffa) indicates fetching a job description. The Job Description Summary node (a1d840d2-af90-4411-bfa7-d378ff6b4872) then summarizes this description.
6. HR Expert Evaluation: The HR Expert node (ad85623d-7c18-4b80-b5a9-3515096e2917) compares the applicant summary with the job description summary to provide a resume score and evaluation.
7. Structured Output Parsing: The Structured Output Parser node (3d98e145-b7c7-482a-8510-3ab6e442f65e) standardizes the output from the HR Expert.
8. Notion ATS Update: The Sticky Note20 (6d0fd6ad-0ead-4734-8ef4-f0e6effcd67c) and Sticky Note23 (88a9d40c-9839-4fbb-9f78-81025cde86e7) indicate updating the Notion ATS with the initial screening results.
9. Behavioral Interview Initiation (ElevenLabs): The ElevenLabs Web Hook (46211734-a52a-415e-8986-0da2af2c3a22) signifies the start of an AI-driven behavioral interview. The ai_convo_items node (1eecec11-38b1-493d-9198-e22ae2836034) processes the data received from ElevenLabs.
10. AI Agent Interview Assessment: The AI Agent node (95128237-3759-469c-94cb-87aefd02bd98) analyzes the full transcript of the behavioral interview, providing an assessment and score.
11. Notion DB Update: The workflow then filters and updates the Notion database (Filter_Notion_db, Sticky Note19) with the AI agent's assessment of the behavioral interview.
12. Audio Storage: The e8a451d9-83fa-46f8-9869-8d00a1122656 node (named Extract_Audio) is intended to download and save conversation audio to Google Drive.
13. Human in the Loop: The Sticky Note12 and Sticky Note21 highlight a human review stage where hiring managers can further assess candidates in the Notion ATS before proceeding to the next steps.

Note: Some node names or descriptions might not perfectly align with their function (e.g., Extract_Audio for resume processing). This analysis is based on the provided JSON and common n8n node functionalities.