Build a Resume Screening web App with Python | Resume Application using NLP Python And Streamlit
In this video, I present the development process of "Resume Screening web App" using Python. The app leverages the capabilities of Natural Language Processing to automate the resume screening and applicant evaluation process. By utilizing machine learning techniques, the app efficiently matches job requirements with applicant skills, streamlining the hiring process for recruiters and HR professionals.
Throughout the video, i explain the key steps involved in building the app, including data preprocessing, feature extraction using TF-IDF, training a classification model, and integrating the app with a user-friendly interface using Streamlit. We showcase how the app can analyze resumes, predict the appropriate job category, and provide valuable insights for recruiters.
dataset = https://www.kaggle.com/datasets/gaura...
github = https://github.com/Ashveenk200/Resume...
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