Automated Resume Screening & Ranking with Llama 4 AI and Google Workspace

This workflow streamlines the initial resume screening process for HR teams and recruiters by leveraging Llama 4 AI to evaluate candidates against job descriptions. It automatically processes bulk CVs from Google Drive, categorizes them into shortlisted, rejected, or KIV (Keep in View) folders based on AI-driven decisions, and generates scores with detailed rationales. A real-time candidate tracker logs each CV's status for easy monitoring.

Key features include organized folder-file structure for seamless retrieval, an autonomous AI agent that handles dynamic evaluations without manual LLM setups, maintainable job description management for flexible criteria updates, and automated email notifications confirming processing completion. This ensures standardized, scalable screening for high-volume applications.

Benefits encompass time savings by eliminating manual reviews, improved accuracy and fairness through AI consistency, and focus shift to strategic hiring decisions. Ideal use cases: internal talent acquisition, recruitment agencies, and hiring managers handling large applicant pools, enabling faster, data-driven shortlisting.