Resume to Image VLM Analysis (Community Contributed)
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Converts a candidate's resume PDF to an image and analyzes it with a Vision Language Model (VLM) to assess suitability for a role, combating hidden prompts.
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About This Workflow
Overview
This workflow demonstrates how to convert a candidate's resume PDF into an image format and then leverage a Vision Language Model (VLM) to analyze its content. This approach is particularly useful for identifying and mitigating 'hidden prompts' within resumes that might be designed to manipulate or bypass traditional Applicant Tracking Systems (ATS) or other AI-driven recruitment tools. By processing the resume as an image, the VLM can interpret the content as a human would, rendering any hidden prompts ineffective.
Key Features
- Downloads a candidate's resume PDF from Google Drive.
- Converts the PDF document into a JPG image.
- Resizes the image to optimize VLM processing time.
- Utilizes a multimodal LLM (Google Gemini) to analyze the resume image.
- Assesses candidate qualifications and suitability for a specified role.
- Bypasses potential AI bypass prompts embedded in the resume.
How To Use
- Prerequisites: Ensure you have a Google Drive account with the provided
fileIdor update it with your resume's file ID. Set up your Google Gemini API credentials. - Environment Variables: Configure any necessary environment variables, such as
API_BASE_URLfor the PDF-to-Image API. - Configure Nodes: Adjust the
fileIdin the Google Drive download node if needed. Ensure thePDF-to-Image APInode is correctly pointed to your Stirling PDF API endpoint or an equivalent service. Update the prompt in theCandidate Resume Analysernode to reflect the specific role and desired assessment criteria. - Run Workflow: Execute the workflow by clicking 'Test workflow'. The output will indicate if the candidate is qualified based on the VLM analysis.
Apps Used
Workflow JSON
{
"id": "c2fe176d-1a5d-4f01-ae0c-50bf3a562aca",
"name": "Resume to Image VLM Analysis (Community Contributed)",
"nodes": 0,
"category": "Document Processing & AI Analysis",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c2fe176d-1a5d...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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