Untitled Book

Hands-On Project: Build an AI-Powered ATS Resume Scoring System on Azure

In this hands-on project, you will build an enterprise-grade, AI-powered Applicant Tracking System (ATS) Resume Scoring Agent using a central Azure Function as the orchestration layer. The system ingests resumes, extracts structured data, evaluates candidate–job alignment, and generates explainable ATS scores using Azure OpenAI, Azure AI Document Intelligence, and Azure Blob Storage.

FREE HOP: Build an AI-Powered ATS Resume Scoring System on Azure

You will receive updates on WhatsApp as well.

Ideal for Professionals in:

Cloud Engineer / Cloud Architect
AI Engineert
Talent Acquisition Specialist
Backend Engineer
Solutions Architect
Machine Learning Engineer
Data Scientist / Data Analyst
AI/ML Architect
Automation Engineer

💡 What You’ll Gain

1. Core Orchestrator: Resume Scoring Azure Function

A Python-based Azure Function acting as the single control plane

Responsible for:

  • Accepting resume + job description inputs
  • Orchestrating downstream AI services
  • Managing execution flow and error handling

Designed as a stateless, scalable serverless service

2. Intelligent Resume Ingestion

  • Automatically ingest resumes (PDF/DOCX) from Azure Blob Storage
  • Trigger processing using serverless Azure Functions
  • Handle real-world resume formatting variability

3. Document Intelligence–Driven Extraction

Extract structured resume content using Azure AI Document Intelligence

Parse key sections:

  • Skills
  • Experience
  • Education
  • Certifications

Convert unstructured resumes into machine-readable data

4. AI-Based Resume Scoring Engine

Use Azure OpenAI (GPT-4o) to:

  • Compare resume content against job descriptions
  • Identify skill matches, gaps, and relevance
  • Compute a normalized ATS alignment score

5. Scoring Logic & Evaluation Framework

Weighted scoring across:

  • Required skills vs optional skills
  • Years of experience
  • Role relevance

Produce consistent, explainable scoring — not black-box output

6. Tool-Orchestrated AI Workflow

Combine:

  • Azure Functions (orchestration)
  • Document Intelligence (extraction)
  • Azure OpenAI (reasoning)

Execute a multi-step AI workflow, not a single prompt call

7. Production-Ready Outputs

Generate structured JSON output:

  • Overall ATS score
  • Skill match breakdown
  • Strengths & gaps summary

Designed for direct integration into:

  • HR platforms
  • ATS dashboards
  • Internal hiring systems

Why This Project Matters

This project positions you as someone who builds systems, not someone who just runs prompts.

What our learners Say

Don’t just take our word for it—hear from learners who’ve successfully transitioned into high-paying tech roles after joining us.

© Copyright K21 Academy – All Rights Reserved