
Overview
AI Resume Screener: Interactive Lab Step into the role of a hiring manager in this hands-on simulation. In this lab, you will explore how Natural Language Processing (NLP) and Machine Learning transform a mountain of applications into a curated shortlist. What You’ll Do: Engineer Job Criteria: Define the essential skills, experience, and certifications required for a specific role. Deploy AI Agents: Upload a batch of resumes and watch as the AI parses unstructured text into actionable data. Analyze & Score: Use semantic matching and TF-IDF vectorization to rank candidates based on relevancy, not just keyword counts. Audit for Bias: Evaluate the "black box" of AI decision-making to ensure fairness and transparency in the shortlisting process. By the end of this lab, you’ll understand the mechanics of modern Applicant Tracking Systems (ATS) and the critical balance between automated efficiency and human oversight.
AI Resume screener
Build an interactive AI Resume Screener! Use NLP to parse resumes, rank candidates via semantic search, and audit for algorithmic bias. A hands-on dive into the tech shaping modern hiring.
Published At: Feb 3, 2026
Last Updated At: Feb 25, 2026
1 Likes 85 min
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