Automated CV Extraction for Job Applications

Job Applicants: Individuals looking to submit their CVs for job applications efficiently.
HR Professionals: Human resource personnel seeking to streamline the application process and improve candidate experience.
Recruiters: Recruiters who want to automate the collection and processing of applicant data.
Developers: Technical users interested in integrating forms, AI, and data storage solutions in their applications.
Small Business Owners: Owners of small businesses looking for cost-effective solutions to manage job applications without extensive resources.

This workflow addresses the challenges of manually processing job applications, which can be time-consuming and prone to errors.
It provides a structured and automated way to collect, validate, and store applicant information, ensuring a smoother hiring process.
By integrating AI, it enhances the quality of data captured from CVs, allowing for better candidate evaluation and selection.
It simplifies the file upload process, ensuring that only valid CVs are accepted, thereby reducing the workload for HR teams.

Step 1: The workflow begins with a manual trigger that initiates the process when a job applicant submits their CV through a form.
Step 2: The CV is extracted from the uploaded file using the Extract from File node, which processes PDF files specifically.
Step 3: The extracted text is then classified using the Classify Document node to ensure it is a valid CV.
Step 4: If the document is validated, the Application Suitability Agent uses AI to extract relevant information from the CV and prepares a tailored cover letter based on the job post.
Step 5: The extracted data is sent to Airtable, where it is stored securely for later review.
Step 6: If the CV fails validation, the applicant is prompted to upload a valid CV again through a retry form.
Step 7: Once the application is successfully processed, the applicant is redirected to a second form to complete additional application details, with some fields pre-filled for convenience.