This AI-powered resume analyzer parses resumes, extracts structured information, and evaluates job-fit based on NLP techniques and deep learning. It computes similarity scores between resumes and job descriptions, using semantic and statistical metrics, to enhance recruitment processes.

The AI-Powered Resume Analyzer streamlines candidate screening by using artificial intelligence and NLP to extract key information from resumes, match qualifications against job descriptions, and generate a matching score for each applicant — helping recruiters make faster, more accurate, unbiased, and data-driven hiring decisions.

This is a confusion matrix visualization for the K-Nearest Neighbors (KNN) model used in your AI-powered resume analyzer project. Here's a short explanation of what it shows:

• The rows represent the actual classes (true job categories or specializations from the resume).
• The columns represent the predicted classes by the KNN model.
• The diagonal cells show the number of correct predictions for each class.
• The off-diagonal cells (non-zero values outside the diagonal) would indicate misclassifications — but here all off-diagonal values are zero.

Resume-Screening-App. (2023, February 1). 611noorsaeed. Retrieved May 18, 2024, from https://github.com/611noorsaeed/Resume-Screening-App/tree/main