https://github.com/adilrasheed139/ai-powered-resume-screening-using-bert

Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.
https://github.com/adilrasheed139/ai-powered-resume-screening-using-bert

bert-model deep-learning exploratory-data-analysis-eda fine-tuning-bert model-evaluation nlp nlp-machine-learning text-preprocessing text-tokenization word-embeddings word-embeddings-for-nlp

Last synced: about 1 month ago
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Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.

• Host: GitHub
• URL: https://github.com/adilrasheed139/ai-powered-resume-screening-using-bert
• Owner: adilrasheed139
• License: mit
• Created: 2024-12-14T20:07:11.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-12-14T20:12:58.000Z (about 1 month ago)
• Last Synced: 2024-12-14T21:22:12.054Z (about 1 month ago)
• Topics: bert-model, deep-learning, exploratory-data-analysis-eda, fine-tuning-bert, model-evaluation, nlp, nlp-machine-learning, text-preprocessing, text-tokenization, word-embeddings, word-embeddings-for-nlp
• Language: Jupyter Notebook
• Homepage:
• Size: 1.19 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AI-Powered Resume Screening Using BERT

## Intro

Classification of resumes into their respective jobs simplies things a lot at the corporate level, especially for the HR recruiters and hiring managers who otherwise have to look through each and every resume first just to identify the domain on which any specific resume is based. Automating the initial screening process in such a manner will enhance the overall quality and efficiency of recruitment.