ChatSafetyAI is the ChatGPT for field-based occupational safety
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Updated
Jun 17, 2026
ChatSafetyAI is the ChatGPT for field-based occupational safety
Evergreen Apache 2.0 EHS console: incidents, CAPA, audits, and evidence in PostgreSQL—self-hostable, RBAC-gated, human-in-the-loop AI optional. Username: demo.admin@example.com, Password: demo-admin-password-change-me
Hybrid Gagge + ISO 7933 heat strain model with population stratification for occupational and sedentary heat stress assessment
This Portofolio i was created caused joined online class HSE Data Analytic from Dokumen HSE
Flutter-based occupational health and safety operations platform for inspections, incidents, and field workflows.
ESP32 - IoT sound level monitoring in real-time with cloud connectivity for data logging and analysis through ThingSpeak integration.
Behavioural analytics pilot evaluating burnout intervention efficacy using the NEU Framework and R-based statistical modelling.
İş Sağlığı ve Güvenliği (Occupational Health and Safety) AI Assistant - A comprehensive healthcare AI system with Turkish medical terminology support and KVKK compliance
Patient Management Dashboard for occupational health teams to streamline scheduling, compliance, and reporting.
Automated REBA ergonomic risk scoring from images and videos using custom 18-keypoint pose estimation (HRNet-W32 + MotionBERT). Includes the full pipeline: model training, video frame sampling, crowdsourced annotation tooling, SME verification, expert shot curation, and score visualization.
Occupational risk EDA using RMarkdown with injury types, trends, and department-based patterns.
AI-driven burnout assessment and recovery platform operationalising the NEU Framework through behavioural science, analytics, and personalised intervention systems.
Compliance strategies application to test workers airborne exposures with the Occupational Exposure Limit (OEL) on R
Wellness Companion for Workspace Safety. Built for Goshathon.
Emulated target trial analyzing workplace health assessments and cardiovascular risk in 2,091,421 Swedish workers
Data analysis project predicting occupational risks for female agricultural workers using machine learning (XGBoost/SHAP). Includes data cleaning, EDA and predictive modeling.
The Occupational Safety and Health Administration (OSHA) is a US federal agency that sets and enforces standards for safe and healthful working conditions. OSHA provides data APIs for accessing workplace injury and illness data, establishment inspection records, and compliance information.
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