This workflow automates the handling of job applications by processing CVs. It triggers when a new row is added to a Google Sheet (assumed to contain a link to a PDF CV), extracts text and details from the CV, summarizes the candidate's profile, evaluates their qualifications using AI, and finally updates a Google Sheet with the processed data and evaluation results.
This workflow automates the screening and evaluation of job applications. When a candidate submits their application, their CV is uploaded to Google Drive. The system then uses AI to extract candidate information from the CV, retrieves the relevant job description from Google Sheets and Google Drive, and evaluates the candidate against the job requirements. Finally, it stores the results in Google Sheets and sends conditional notifications via Gmail or Slack.
This workflow automates the CV screening process for HR professionals. It triggers when a new email with a CV attachment is received in Gmail. It then extracts the resume text using AI, evaluates the candidate's fit for a job using an LLM, and logs the results, including a score, into a Google Sheet. Finally, it sends a confirmation email to the applicant.
This workflow is triggered when a new row is added to a Google Sheet containing a document link. It processes the document (e.g., a PDF resume) by extracting its text content. Using prompts fetched from another Google Sheet, an AI extracts specific fields of information. Finally, the extracted data is updated back into the original Google Sheet row.
This workflow automates the screening and ranking of resumes. It triggers when a new resume is added to Google Drive, extracts data from the resume and a job description, uses AI to analyze suitability and generate a score, then updates a Google Sheet tracker and sends email notifications.
This workflow monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
This workflow streamlines the process of screening job applications. It triggers when a new email with a PDF resume attachment is received in Gmail. The workflow then extracts text and key candidate details from the resume using AI, evaluates and scores the candidate based on predefined criteria, and finally logs all the candidate's information, including their score, into a Google Sheet for easy management.