AI-Powered HR Hiring Agent

Intelligent PDF Resume Screening & Job Matching with AWS AI Services

PDF OCR Processing

AWS Textract extracts text from PDF resumes with precision

AI Skill Analysis

Amazon Bedrock analyzes and categorizes skills intelligently

Smart Matching

Advanced algorithms match candidates to job requirements

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Candidates
5
Positions
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Matches

How It Works - User Perspective

1

Upload PDF Resumes

Select multiple PDF files for processing

AI agents automatically extract and analyze content

2

Select Position

Choose from available job openings

Matching agents prepare job requirement analysis

3

Find Matches

AI analyzes and ranks candidates

Multiple agents collaborate for optimal rankings

1

Upload PDF Resume Files

Click to Upload PDF Resumes

PDF files only (Max 5MB each) • Multiple files supported • Standard PDF format required

Don't have PDF resumes to test?

Download our sample PDF resume pack with 10 different candidate profiles

2

Select Position & Find Matches

Available Positions:

Sales Demand Planning Senior Level
Angular Developer Mid Level
Java Developer Mid Level
DevOps Engineer Senior Level
Data Scientist Mid Level

All Processed Candidates

No PDF resumes uploaded yet

Upload PDF resume files to see extracted skills here

Agentic AI Architecture

This HR hiring system demonstrates an agentic AI approach where multiple specialized AI agents work autonomously and collaboratively to process resumes and make hiring decisions. Each agent has specific responsibilities and can make independent decisions while contributing to the overall recruitment workflow.

AI Agent Architecture Flow

Agentic AI Workflow PDF Resume Input Document 📄 User Upload 🤖 Document Agent AWS Textract OCR 📝 Raw Text Output 🧠 Skills Agent Amazon Bedrock 🎯 Structured Skills 📊 Experience Agent Level Classification 📈 Experience Level 🎯 Orchestrator Agent Coordination & Decision 🔄 Workflow Management Intelligent Coordination 🎯 Matching Agent Job-Candidate 💼 Match Scores 🏆 Ranking Agent Score Optimization 🥇 Final Rankings Decision Output Document Processing Decision Output

Process Flow

1. Input
2. Text Extraction
3. Analysis
4. Coordination
5. Output

Document Processing Agent

  • • Autonomous PDF text extraction
  • • Error handling & validation
  • • Format standardization
  • • Quality assessment

Skills Analysis Agent

  • • NLP-powered skill extraction
  • • Technical vs soft skill classification
  • • Skill relevance scoring
  • • Context-aware interpretation

Experience Classification Agent

  • • Career progression analysis
  • • Years of experience calculation
  • • Role complexity assessment
  • • Leadership indicator detection

Orchestrator Agent

  • • Workflow coordination
  • • Agent communication management
  • • Decision conflict resolution
  • • Performance optimization

Matching Agent

  • • Job-candidate compatibility scoring
  • • Multi-criteria decision analysis
  • • Requirement gap identification
  • • Weighted preference matching

Ranking Agent

  • • Dynamic score optimization
  • • Contextual ranking algorithms
  • • Bias detection & mitigation
  • • Explainable AI recommendations

Why Agentic AI?

🎯 Autonomous Decision Making

Each agent makes independent decisions within its domain of expertise, reducing bottlenecks and improving processing speed.

🔄 Scalable Architecture

Agents can be scaled independently based on workload, allowing optimal resource allocation and system performance.

🛠️ Specialized Expertise

Each agent is optimized for specific tasks, leading to higher accuracy and better outcomes than monolithic systems.

🔍 Explainable Results

Agent-based decisions provide clear audit trails and explanations for hiring recommendations and scoring.