Kryzotech

AI & Machine Learning

AI For Recruitment: Resume Screening System

George Tonmoy RoyGeorge Tonmoy Roy
Last updated June 19, 20264.5 (0 reviews)

About this workshop

AI For Recruitment: Resume Screening System is a 1.5-hour hands-on workshop that introduces participants to how Artificial Intelligence is transforming the recruitment process.

Participants will learn the fundamentals of AI-powered resume screening, including resume parsing, text preprocessing, keyword matching, and candidate ranking using Python and Natural Language Processing (NLP). Through a guided demonstration, attendees will build a simple resume screening system that compares resumes with job descriptions and identifies the most relevant candidates.

By the end of the workshop, participants will understand the core concepts behind modern AI recruitment tools and gain practical experience developing a basic Resume Screening System.

Prerequisites

Basic knowledge of Python is recommended.

Duration

1.5 Hours

Workshop Outcome

Understand AI in recruitment

Build a basic Resume Screening System

Learn resume matching and candidate ranking techniques

Gain hands-on experience with Python and NLP

Workshop objectives

  • Understand how AI is transforming recruitment
  • Learn how resume screening systems work
  • Build an AI-powered resume screening application
  • Extract information from resumes using NLP
  • Rank candidates based on job requirements
  • Automate candidate shortlisting
  • Gain hands-on experience with Python and machine learning

Workshop benefits

  • Build a real-world AI recruitment project
  • Learn industry-relevant AI techniques
  • Improve your portfolio with a practical application
  • Understand how HR technology uses AI
  • Receive hands-on coding experience

What you'll learn

  • Introduction to AI in recruitment
  • Resume parsing using Python
  • Text preprocessing and
  • Natural
  • Language
  • Processing (NLP)
  • Extracting candidate skills and experience
  • Matching resumes with job descriptions
  • Resume scoring algorithms
  • Candidate ranking system
  • Building a simple recruitment dashboard
  • Project deployment basics
  • Best practices and ethical considerations in
  • AI hiring

Who this course is for

  • University students
  • Fresh graduates
  • Aspiring Data Scientists
  • AI and Machine Learning enthusiasts
  • Python developers
  • HR professionals interested in AI
  • Software engineering students
  • Anyone interested in recruitment automation

Skills covered

  • Python
  • Artificial Intelligence
  • Natural Language Processing (NLP)
  • Resume Parsing
  • Flask

Course curriculum

1 modules · 1 lessons

Meet your trainers

George Tonmoy Roy

Trainer

George Tonmoy Roy

NLP & LLM instructor

  • Software Engineer, Dev Monks
  • Former AI Engineer, Nidus Lab
  • Former Teaching Assistant, Ostad

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