Resume Classification Using AI

Resume Classification Using AI

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Client Objective

To streamline the recruitment process by automating the classification of incoming resumes based on skills, experience, and job relevance.

Solution

We developed an AI-driven resume classification system that automatically categorizes resumes into predefined job roles and skill buckets.

  • Leveraged Machine Learning models trained on a dataset of sample resumes.
  • Used Natural Language Processing (NLP) techniques to extract key information such as education, experience, skills, and job titles.
  • Implemented a feedback loop to continuously improve classification accuracy over time.

Outcome

  • Reduced manual resume sorting time by over 70%.
  • Improved recruiter efficiency by ensuring better candidate-job matching.
  • System accuracy improved through continuous learning as more resumes were processed.

Technologies Used

  • Python
  • Scikit-learn
  • NLP (spaCy, NLTK)
  • Custom ML pipeline for classification

Note: This project was delivered several years ago, showcasing our early capabilities in applied AI and machine learning in HRTech.