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Project: V.I.C.T.O.R.Y - Vacancy Inclusivity Checker

140 words·1 min
Berry Blom
Author
Berry Blom
Data and AI Engineer

Overview:
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V.I.C.T.O.R.Y. is an AI-powered application designed to identify non-inclusive language in job vacancies, particularly targeting age, gender, and background biases. This project aims to address youth unemployment by ensuring that job postings are inclusive and accessible.

Key Features:
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  • Discrimination Detection: Uses Natural Language Processing (NLP) to identify potentially discriminatory language in job vacancy texts.
  • Machine Learning: Trained a Multinomial Naive Bayes model for binary classification of vacancies as inclusive or non-inclusive.
  • Real-time Feedback: Highlights non-inclusive words in real-time and provides suggestions for improving vacancy text.

Technologies:
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  • Streamlit: Built a user-friendly web interface for job vacancy analysis and feedback visualization.
  • NLTK (Natural Language Toolkit): Applied for text preprocessing and pattern matching of discriminatory language.
  • GPT-3: Integrated for generating inclusive word suggestions to enhance job postings.

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Explore the codebase and try out the project on GitHub. GitHub Repository