This model is designed to automatically analyze resumes submitted by students. It uses Natural Language Processing (NLP) to extract key skills and a Decision Tree machine learning algorithm trained on TF-IDF features to classify each resume into one of four categories: Web Developer, Data Analyst, AI/ML Specialist, or Core Engineer. In addition to predicting the category, the model also identifies and highlights the top three most relevant skills from the resume. This system helps recruiters and placement cells quickly sort and evaluate talent based on skills and job-fit."
This model is designed to automatically analyze resumes submitted by students. It uses Natural Language Processing (NLP) to extract key skills and a Decision Tree machine learning algorithm trained on TF-IDF features to classify each resume into one of four categories: Web Developer, Data Analyst, AI/ML Specialist, or Core Engineer. In addition to predicting the category, the model also identifies and highlights the top three most relevant skills from the resume. This system helps recruiters and placement cells quickly sort and evaluate talent based on skills and job-fit."
