Introducing Autofill with Resume Plugin : Automate Resume Data Entry in Odoo

Overview

In today’s fast-paced recruitment landscape, efficiency is key. The Autofill with Resume plugin for Odoo revolutionizes the hiring process by automating data entry from candidate resumes. Designed to seamlessly integrate with Odoo’s Recruitment module, this plugin extracts information directly from uploaded resumes and populates the relevant fields in candidate profiles. By reducing manual input and streamlining data collection, recruiters can focus more on assessing talent and less on paperwork.

The Autofill with Resume feature leverages OpenAI’s GPT-4 model to automatically extract
essential applicant information from uploaded resumes. This automation populates key fields
such as the applicant’s name, email, LinkedIn, GitHub profiles, degree, certifications,
achievements, and more, directly into the applicant form. By minimizing manual data entry, this
feature saves time, improves accuracy, and enhances the recruitment process.

Whether you’re handling large volumes of applicants or seeking to improve your team’s productivity, the Autofill with Resume plugin saves time and ensures accuracy, making it an essential tool for any hiring process.

Pre-requisites

OpenAI API Key Configuration:
Before using the Autofill with Resume feature, the OpenAI API key must be set up:

1. Navigate to Configuration Menu > OpenAI API Key Submenu.
2. Enter your OpenAI API key in the provided field.
3. Save the changes to enable communication with OpenAI’s GPT-4 model.

How It Works

Step 1: Creating or Applying to a Job Posting

Navigating to Job Postings:
Go to the Applications Menu > By Job Position Submenu within the Recruitment
plugin.
● Creating a Job Posting:

1. Click the New button to create a new job posting.
   • Fill in required details such as:
     ■ Department
     ■ Job Location
     ■ Employment Type
     ■ Target Recruitment
     ■ Recruiter and Interviewers
     ■ Website
     ■ Is Published, Email Alias
     ■ Job Summary.
     
2. Applying for an Existing Job Posting:
   If you are applying for an existing job, select a job posting and click the New Applicant
   button to start creating the application.

Step 2: Creating an Applicant Record

1. Click the New button to create a new applicant record.
2. Fill out applicant details like Source, Medium, Availability, Tags, and Evaluation.
   • Upload the applicant’s resume. Once uploaded, the system will use OpenAI’s GPT-4
     model to extract key information such as:
     ○ Name
     ○ Email
     ○ LinkedIn Profile
     ○ GitHub Profile
     ○ Degree
     ○ Certificates
     ○ Achievements
     ○ Hobbies
     ○ Strengths
     ○ Gender
     ○ Date of Birth
     ○ Nationality
     ○ Other relevant fields
     Note: Basic fields like name, email, and phone number will be auto-filled from the
     extracted data.
     

Step 3: Fetching Extra Information

• A button labeled Fetch Extra Information will appear on the applicant form.
• When clicked, a popup window opens, displaying a table of all the extracted fields from the resume.

Step 4: Customizing Extracted Fields

• In the popup window, users can review the extracted data and choose which fields to
• enable and add to the applicant form.
• After selecting the desired fields, they will automatically populate in the applicant’s record.

User Workflow Summary

Ensure the OpenAI API key is correctly configured.

• Upload the resume when creating or editing an applicant record linked to a job posting.
• Click the Fetch Extra Information button to view the extracted fields in a popup window.
• Select and enable the fields you want to add to the applicant’s form.
• The selected fields are automatically populated in the applicant’s record.

Conclusion

The Autofill with Resume feature streamlines the recruitment process by automating the
extraction of applicant information using AI. It reduces the time spent on manual data entry,
improves accuracy, and enables HR teams to focus on more critical tasks. This functionality
helps ensure that applicant data is managed efficiently, with minimal errors and redundancy.