ManualTrigger Automate streamlines the candidate evaluation process by converting resumes from PDF to images, allowing advanced AI models to assess qualifications accurately. This workflow combats hidden prompts in resumes that can manipulate automated systems, ensuring fair evaluations. Integrating with Google Drive and LangChain, it enhances efficiency and reliability in hiring decisions.
Recruiters, HR Professionals, and Hiring Managers\nThis workflow is designed for individuals involved in the recruitment process, particularly those who handle candidate resumes. It is ideal for: \n- Recruiters looking to streamline the resume evaluation process. \n- HR Professionals who want to ensure fair and unbiased assessments. \n- Hiring Managers seeking a more efficient method to evaluate candidates based on their resumes. \n- Technical Recruiters who are familiar with AI tools and want to leverage automation in their hiring processes.
Automated Resume Evaluation\nThis workflow addresses the challenge of evaluating candidate resumes in a fair and efficient manner. It solves the following problems: \n- Hidden Prompts: It combats the issue of hidden prompts in resumes that may manipulate automated Applicant Tracking Systems (ATS). \n- Time Consumption: Reduces the time spent manually reviewing resumes by automating the evaluation process using AI. \n- Bias Reduction: Ensures a more objective assessment of candidates by utilizing a Vision Language Model (VLM) that processes resumes as images.
Workflow Process Overview\n1. Manual Trigger: The workflow starts when the user clicks ‘Test workflow’. \n2. Download Candidate Resume: It retrieves the candidate's resume from Google Drive. \n3. Convert PDF to Image: The PDF resume is converted to an image format using the Stirling PDF API. \n4. Resize Image: The converted image is resized to optimize processing speed. \n5. Analyze Resume: The resized image is processed by a Multimodal LLM (Google’s Gemini) to assess if the candidate's qualifications match the desired role. \n6. Output Parsing: The results are structured for further evaluation, determining if the candidate should proceed to the next stage of the hiring process. \n7. Conditional Logic: Based on the analysis, the workflow decides if the candidate qualifies for the next stage.
Customizing the Workflow\n- Change Resume Source: Modify the Google Drive file ID to pull resumes from a different location or integrate with other sources such as email. \n- Adjust Evaluation Criteria: Update the messages in the Candidate Resume Analyser node to reflect the specific skills and qualifications relevant to different roles. \n- API Adjustments: If using a different PDF-to-image conversion service, update the API endpoint and parameters in the PDF-to-Image API node accordingly. \n- Output Handling: Customize the output parser to change how results are structured or to include additional information as needed.