Automated resume screening leveraging ML and NLP for efficient candidate evaluation

Resume screening includes the process of analyzing resumes, which can be a difficult task for companies due to the complexity in various resume formats. Thus, it becomes a difficult task for recruiters to identify the correct person for his deserved job positions. We use NLTK and natural language processing (NLP) techniques to extract key information from CVs; it helps to minimize the time and effort of recruiters. This system is built to handle a large volume of resumes by applying different classifiers like LR, SVM, KNN, Random Forest, and Gradient Boosting. Also, this approach tries to find the accuracy and performance of this system and tends to eliminate manual screening.