Automated Resume Review System Using OpenAI + Google Sheets
This workflow significantly enhances recruitment efficiency through the automation of resume collection and processing, combined with AI technology and cloud storage. After candidates upload their resumes, the system automatically extracts personal information, educational background, and work experience, generating a professional summary and score. All data is synchronized in real-time to an online spreadsheet, facilitating unified evaluation and analysis by HR, addressing issues such as lengthy processes, information omissions, and inconsistent evaluation standards in traditional recruitment. This provides companies with an efficient recruitment solution.
Workflow Name
Automated Resume Review System Using OpenAI + Google Sheets
Key Features and Highlights
This workflow enables automated resume collection, storage, information extraction, intelligent analysis, and scoring, significantly enhancing recruitment process efficiency. Leveraging AI technology (OpenAI GPT-4), it extracts personal details, educational background, work experience, and skills from resumes, generates professional summaries, and performs match scoring through a virtual HR expert simulation. All data and scoring results are automatically synchronized to Google Sheets for centralized management and tracking.
Core Problems Addressed
- Time-consuming and inefficient manual resume screening
- Complex information extraction prone to missing critical details
- Lack of standardized candidate evaluation criteria and record-keeping
- Difficulty for recruitment teams to quickly compare and analyze candidate fit
Application Scenarios
- Automated resume processing and review for corporate HR teams
- Bulk resume screening and management for recruitment agencies
- AI-assisted decision-making in human resources departments
- Any organization seeking to improve recruitment efficiency and accuracy
Main Process Steps
- Resume Submission: Candidates upload PDF resumes via an online form and provide basic information (name, email, etc.).
- File Storage: Resumes are automatically uploaded to Google Drive to ensure secure data archiving.
- Information Extraction: AI models parse resume content to extract personal information, education, work experience, and skills.
- Data Consolidation and Summary: Extracted information is integrated to generate a professional summary within 100 words.
- HR Expert Scoring: Based on predefined recruitment criteria, AI simulates an HR expert to score candidates on a scale of 1-10 and provide review comments.
- Result Storage: All data and scoring results are appended and synchronized to Google Sheets for easy retrieval and analysis.
Involved Systems and Services
- n8n: Workflow automation platform
- OpenAI GPT-4: Natural language processing for information extraction, summary generation, and match scoring
- Google Sheets: Data storage and management
- Google Drive: Resume file storage
- Online Form (n8n Form Trigger): Resume and information collection
Target Users and Value
- HR and Recruitment Managers: Reduce resume screening workload and improve decision-making efficiency and accuracy
- Recruitment Teams: Achieve standardized resume evaluation and data-driven management to optimize recruitment workflows
- Enterprise Automation Leads: Enhance HR intelligence through AI and automation tools
- Job Platforms and Recruitment Agencies: Deliver more efficient resume processing solutions to boost service capabilities
This workflow integrates form collection, cloud storage, AI-powered intelligent information extraction and analysis, automated scoring, and data management to help organizations realize digital transformation and intelligent upgrading of their recruitment processes.