junayed-hasan/occupational-stress-ml
This repository contains code, datasets, and analysis for AI-driven occupational stress detection using machine learning, deep learning, and NLP. It includes feature selection, explainable AI, synthetic data generation, and model validation for workplace safety applications. 🚀
This project offers an AI-driven solution to identify and predict occupational stress in employees using workplace survey data. It takes in structured data and free-text responses from employee questionnaires to output clear insights into stress levels and their root causes within your organization. This is designed for HR managers, occupational health specialists, and policymakers focused on enhancing workplace safety and employee well-being.
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Use this if you need an automated, objective way to detect and understand employee stress factors to proactively improve workplace safety and productivity.
Not ideal if you are looking for a simple survey tool or a general mental health assessment that doesn't focus specifically on workplace-related stress using advanced AI.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 20, 2025
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