Building an AI-Powered CV Screening Automation using n8n

In this article, we'll explore how to build an AI-powered CV screening automation using n8n. This automation will extract important information from a candidate's resume, rank them based on their qualifications, and provide a justification for the ranking.

Introduction to the Automation

The automation is designed to simplify the candidate screening process by extracting relevant information from a resume, such as contact information, educational background, work history, and skills. This information is then used to rank the candidate based on their qualifications for a particular job.

How the Automation Works

The automation uses a Gmail trigger to listen for incoming emails with attachments (resumes). The attachment is then uploaded to Google Drive, and the information is extracted using an AI node. The extracted information is then used to rank the candidate and provide a justification for the ranking.

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Step-by-Step Walkthrough of the Automation

To build this automation, we'll start by setting up a Gmail trigger to listen for incoming emails with attachments. We'll then upload the attachment to Google Drive and extract the information using an AI node.

Setting up the Gmail Trigger

The Gmail trigger is set up to listen for incoming emails with attachments. We can specify the type of attachment we're looking for (e.g., PDF, Word document) and the email address we want to trigger the automation.

Uploading the Attachment to Google Drive

Once the email is received, the attachment is uploaded to Google Drive. This allows us to access the attachment and extract the information.

Extracting Information using an AI Node

The AI node is used to extract the information from the attachment. We can specify what information we want to extract, such as contact information, educational background, work history, and skills.

Ranking the Candidate and Providing a Justification

The extracted information is then used to rank the candidate based on their qualifications for a particular job. A justification is also provided for the ranking, explaining why the candidate received a particular score.

Additional Features and Customization

The automation can be customized to fit specific needs. For example, we can add additional nodes to send the ranked candidates to a specific email address or to a Slack channel. We can also add a form submission trigger to allow candidates to apply through a website form.

Conclusion

Building an AI-powered CV screening automation using n8n can simplify the candidate screening process and save time. By extracting relevant information from a resume and ranking candidates based on their qualifications, this automation can help recruiters and hiring managers make more informed decisions. With its customizable features and ability to integrate with other tools, this automation is a valuable asset for any organization looking to streamline its hiring process.

Unfortunately, the other images could not be inserted as their URLs are null. However, this article explains the process in detail. For more information and to get started with building your own AI-powered CV screening automation, be sure to check out the resources and community mentioned in the original video description.