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 candidate screening process. It triggers when a new application is submitted via Google Forms, including a PDF resume upload. The workflow extracts text from the resume, stores it in Google Drive, and uses AI (OpenAI) to evaluate the candidate against job requirements fetched from Airtable. Finally, it creates a new candidate record in Airtable with the evaluation results and sends an email notification to HR if the candidate is deemed suitable.
This workflow automates the interview preparation process for recruiters. It triggers upon a new candidate application via a form, processing their resume PDF, job role, and interview round. The system extracts relevant data from the resume and retrieves the job description from Google Sheets and Drive. An AI then analyzes this information to generate tailored interview questions and expected answers, delivering a comprehensive report via email to the hiring team.
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 monitors a Gmail inbox for new emails containing PDF resume attachments. It extracts the job title from the email subject and matches it against open positions stored in Airtable. The resume file is then uploaded to Google Drive, and its content is sent to an AI for analysis, scoring the candidate, extracting key details, and providing feedback. All results, including candidate information, AI score, and a resume download link, are then appended as new rows in Google Sheets.
This workflow automates the recruitment process by collecting candidate applications from a form. It stores applicant data in Airtable, uploads CVs to Google Drive, and uses AI to evaluate candidates against job descriptions. The workflow then schedules interviews and sends personalized email communications to candidates.
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.