Automated Resume Scoring and Job Matching with Gemini LLM, Gmail, and Notion

Overview

This workflow streamlines the resume evaluation process by integrating Gmail, Google Gemini LLM, and Notion job profiles. Incoming resumes are automatically processed, scored, and matched to job requirements, reducing manual HR effort.

Key Features

• Automated Email Trigger: Listens for new resume submissions via Gmail.
• AI-Powered Extraction: Uses advanced information extractors to parse personal, professional, and educational details from resumes.
• Document Processing: Uploads resumes to LlamaParse and checks processing status to ensure data accuracy.
• Job Matching: Compares extracted candidate data with Notion job profiles using Gemini LLM for intelligent scoring.
• Conditional Logic: Employs wait and switch nodes to manage workflow timing and readiness checks.

Benefits

• Efficiency: Automates repetitive HR tasks, saving significant time in candidate screening.
• Accuracy: Reduces human error by leveraging AI for data extraction and scoring.
• Scalability: Handles large volumes of resumes without manual intervention.
• Seamless Integration: Connects Gmail, Notion, and AI models for a unified workflow.

Use Cases

• HR teams seeking to automate resume screening and job matching.
• Organizations aiming to improve hiring speed and candidate quality.
• Businesses needing scalable, AI-driven recruitment solutions.