AlekSystem Workflow Detail

AI Resume Job Title Extractor with Google Gemini Workflow Solution

AI Resume Job Title Extractor with Google Gemini

AI Resume Job Title Extractor with Google Gemini Overview This AlekSystem template demonstrates how to use Google Gemini AI to analyze a PDF resume and extra...

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Workflow overview

Why this workflow matters

Helpful for business development and pipeline building. Supports knowledge capture and document intelligence use cases.

AI Resume Job Title Extractor with Google Gemini Overview This AlekSystem template demonstrates how to use Google Gemini AI to analyze a PDF resume and extract the candidate's current or most relevant job title as a clean search string. It’s a powerful utility for anyone building automated talent pipelines, lead enrichment tools, or profile categorization systems. 🚀 How it works File Input: The workflow begins by reading a resume (PDF) from a local storage directory via the Read/Write Files from Disk node. Parsing: The Extract from File node handles the heavy lifting of converting the PDF binary into indexed plain text. AI Analysis: The extracted text is sent to Google Gemini. A specialized prompt instructs the model to identify the professional role and output only a single, clean search string (avoiding any conversational filler). Data Structuring: The Set (Return) node captures the AI's output and raw text, making it ready for downstream use or for return to a parent "caller" workflow. 🎮 How to use File Path: Update the File Selector in the "Read/Write Files from Disk" node to point to your resume (e.g., /home/node/.AlekSystem-files/My-Resume.pdf). API Credentials: Set up your Google Gemini (PaLM) API credentials in the Gemini node. Modular Use: This workflow is configured with an Execute Workflow Trigger, meaning you can call it as a "sub-workflow" from larger automation stacks to instantly enrich data with professional titles. ⚙️ Requirements Google Gemini API Key AlekSystem Environment: Designed for self-hosted instances with local file access (can be adapted for Google Drive or S3 by swapping the first node). 🎯 Use Cases Job Matching: Automatically generate search queries for job boards based on a user's resume. CRM Enrichment: Keep your candidate lists up-to-date with current professional titles. Talent Discovery: Categorize thousands of profiles instantly without manual review.

Best fit

Categories

AI/MLSalesDocument Ops

Services

Google Gemini

Use cases

sales automationdocument intelligence