AI-Powered Recruitment Agent | Agentic AI Project | Euron | End To End with Deployment
Project Resource Link : https://euron.one/course/ai-powered-recruitment-agent
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CHAPTERS:
00:00 - Introduction
00:35 - AI Project: Recruitment AI Agent
01:18 - Understanding Project Functionality
01:32 - Project Architecture Overview
01:49 - Building the Project
02:00 - Deploying the Project
02:15 - Resume Deployment in Project
02:38 - Starting AI Project - Step 1
38:47 - Complete Resume Feature Overview
49:46 - Setup Page Overview
51:30 - Configuring Sidebar
52:38 - Resume Upload Section
53:27 - Mentioning Next Steps
54:14 - Generating Questions
1:00:44 - Third Step Explanation
1:01:10 - Fourth Step Explanation
1:01:40 - Fifth Step Explanation
1:02:05 - Final Step Explanation
1:03:14 - Writing Method: extract_text_from_pdf
1:04:35 - Writing Method: extract_text_from
1:05:00 - Writing Method: read
1:20:01 - Resume Analysis Function - 3
1:20:03 - Resume Analysis Function - 4
1:20:05 - Resume Analysis Function - 5
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1:20:09 - Resume Analysis Function - 7
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2:00:19 - Docker Compose Overview
2:00:34 - Script Execution
2:01:21 - Deployment Flow Explanation
2:01:56 - Step 1: Triggering Self-hosted Runner
2:03:07 - Step 2: Pushing Latest Code
2:03:57 - Step 3: Creating Docker Image
2:05:35 - Continuous Integration Overview
2:07:18 - Continuous Deployment Overview
2:08:50 - Creating .yaml File for GitHub Actions
2:09:17 - Creating .yml File for Docker
2:10:24 - Files and Folders in Deploy Directory
2:12:00 - Git Add, Commit, Push Process
2:13:49 - Running New Runner
2:14:26 - Creating IAM User
2:16:13 - Creating Access Key
2:16:54 - Creating EC2 Role
2:19:15 - Creating New EC2 Instance
2:21:35 - Launching EC2 Instance
2:52:17 - Deleting Unnecessary Resources
2:53:45 - Terminating EC2 Instance
2:54:49 - Outro
2:55:09 - Google Cloud Console Projects Overview
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