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. 🚀

Industrial Safety Incident Analysis & Risk Prediction using NLP | This project, part of my PGP in AI & ML from Great Learning, develops an AI-powered chatbot for workplace safety using NLP and ML/DL models. It analyzes accident reports, predicts risk levels, and provides safety insights using Random Forest, BERT, and Transformer-based embeddings.

AI-powered workplace safety insights for women using graph-based trust modeling and NLP

This project uses NLP to analyze OSHA-style injury narratives, extracting sentiment and keywords to identify machine-specific risks. A Power BI dashboard visualizes key patterns in injury severity, causes, and body parts, enabling data-driven workplace safety insights.