{ "id": "resume-analyser-workflow", "meta": { "templateCredsSetupCompleted": true }, "name": "AI-Resume-Job-Title-Extractor-with-Google-Gemini", "tags": [], "nodes": [ { "id": "sticky-overview", "name": "Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -1088, -992 ], "parameters": { "color": "#FEC942", "width": 372, "height": 812, "content": "## AI Resume Job Title Extractor\n\nAnalyses a PDF resume using Google Gemini and extracts the candidate's current job title. Designed to run as a sub-workflow called by the Job Search automation.\n\n### How it works\n1. Triggered by a parent workflow via the Execute Workflow trigger\n2. Reads the candidate's PDF resume from the local filesystem\n3. Extracts raw text from the PDF\n4. Sends the text to Gemini with a prompt to identify the current job title\n5. Returns the extracted job title and Gemini response parts to the calling workflow\n\n### Setup\n1. **Resume File**: Update the file path in the 'Read/Write Files from Disk' node to point to your resume PDF\n2. **Google Gemini**: Connect your Google Gemini (PaLM) API credentials in the 'Message a model' node\n3. **Model**: Uses Gemma-4-31B by default \u2014 swap in any Gemini model you prefer\n\n### Customisation\n- Adjust the prompt in 'Message a model' to extract different info (skills, years of experience, etc.)\n- Edit 'Return' to pass additional fields back to the parent workflow" }, "typeVersion": 1 }, { "id": "sticky-section-1", "name": "Setup & PDF Extraction", "type": "n8n-nodes-base.stickyNote", "position": [ -560, -880 ], "parameters": { "color": "#AEADAD", "width": 656, "height": 552, "content": "## Setup & PDF Extraction\nTrigger the workflow from a parent automation, read the resume PDF from disk, and extract its raw text for processing." }, "typeVersion": 1 }, { "id": "sticky-section-2", "name": "AI Analysis & Output", "type": "n8n-nodes-base.stickyNote", "position": [ 128, -880 ], "parameters": { "color": "#AEADAD", "width": 556, "height": 556, "content": "## AI Analysis & Output\nSend the extracted resume text to Google Gemini to identify the current job title, then return the result to the calling workflow." }, "typeVersion": 1 }, { "id": "c337df28-cd6e-4411-ad84-12b33356c957", "name": "Read/Write Files from Disk", "type": "n8n-nodes-base.readWriteFile", "position": [ -288, -704 ], "parameters": { "options": {}, "fileSelector": "/home/node/.n8n-files/Navneet-Resume.pdf" }, "typeVersion": 1.1 }, { "id": "7208b89a-301d-4bac-b73c-9a6e9f02977b", "name": "Extract from File", "type": "n8n-nodes-base.extractFromFile", "position": [ -64, -704 ], "parameters": { "options": {}, "operation": "pdf" }, "typeVersion": 1.1 }, { "id": "5a32f956-b316-4a28-b50f-c25ec8f328f4", "name": "Return", "type": "n8n-nodes-base.set", "position": [ 496, -704 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "338084ba-f9f9-4f26-85d2-7b37d7853aa8", "name": "text", "type": "string", "value": "={{ $('Extract from File').item.json.text }}" }, { "id": "c3571360-cfaa-4bd1-ad17-f25106799a3b", "name": "content_parts", "type": "string", "value": "={{ $json.content.parts }}" } ] } }, "typeVersion": 3.4 }, { "id": "2261e908-c791-46e0-ab38-a042ee2f9a1b", "name": "Start", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [ -512, -768 ], "parameters": { "inputSource": "passthrough" }, "typeVersion": 1.1 }, { "id": "e3bcb3c5-816d-41ad-bb53-2d07e13ddbe1", "name": "Message a model", "type": "@n8n/n8n-nodes-langchain.googleGemini", "position": [ 208, -704 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "models/gemma-4-31b-it", "cachedResultName": "models/gemma-4-31b-it" }, "options": {}, "messages": { "values": [ { "content": "=Analyse the resume text: {{ $json.text }}.\n\nIdentify the current job title.\nOutput ONLY a single search string." } ] }, "builtInTools": {} }, "credentials": { "googlePalmApi": { "name": "" } }, "typeVersion": 1.1 }, { "id": "c77e2a21-9104-495c-bff5-7b4946cea1fe", "name": "Setup & PDF Extraction1", "type": "n8n-nodes-base.stickyNote", "position": [ -336, -736 ], "parameters": { "color": "#C96464", "width": 192, "height": 360, "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nUpdate the path for the Resume:\n1. Open this node.\n2. Update the path under File(s) Selector" }, "typeVersion": 1 }, { "id": "9409fbf9-0c7a-4f11-b1e7-6123c6b497e0", "name": "Setup & PDF Extraction2", "type": "n8n-nodes-base.stickyNote", "position": [ 176, -736 ], "parameters": { "color": "#C96464", "width": 288, "height": 376, "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nUpdate your Google Credentials:\n1. In Google AI Studio, create your API Key.\n2. Open this node and under Credentials, click on Create New Credentials and update the Host and the API Key" }, "typeVersion": 1 } ], "active": false, "shared": [ { "role": "workflow:owner", "project": { "id": "gWkPS3Yo6L03U87I", "icon": null, "name": "Navneet Singh Arora ", "type": "personal", "createdAt": "2026-04-10T15:01:49.389Z", "creatorId": "fd932e6f-0271-41b5-9363-6f2454ac13dc", "updatedAt": "2026-04-10T15:07:46.566Z", "description": null }, "createdAt": "2026-04-10T15:14:31.924Z", "projectId": "gWkPS3Yo6L03U87I", "updatedAt": "2026-04-10T15:14:31.924Z", "workflowId": "resume-analyser-workflow" } ], "settings": { "binaryMode": "separate", "availableInMCP": false, "executionOrder": "v1" }, "createdAt": "2026-04-10T15:14:31.924Z", "updatedAt": "2026-04-15T22:00:28.793Z", "versionId": "b377fe59-bd35-4ee9-b1ec-c83bd14a973a", "isArchived": false, "staticData": null, "connections": { "Start": { "main": [ [ { "node": "Read/Write Files from Disk", "type": "main", "index": 0 } ] ] }, "Message a model": { "main": [ [ { "node": "Return", "type": "main", "index": 0 } ] ] }, "Extract from File": { "main": [ [ { "node": "Message a model", "type": "main", "index": 0 } ] ] }, "Read/Write Files from Disk": { "main": [ [ { "node": "Extract from File", "type": "main", "index": 0 } ] ] } }, "description": null, "triggerCount": 0, "versionCounter": 134, "activeVersionId": null, "versionMetadata": { "name": null, "description": null } }