Intunebaselines by Wolkenman.nl

AI-powered computer vision system for real-time workplace safety monitoring. Detects people and PPE compliance (helmets, vests) using YOLO models with intelligent tracking and MP4 output.

An MLOps pipeline for real-time industrial safety detection using YOLOv8, achieving 88.90% mAP_50 accuracy. Automates data ingestion, validation, and evaluation with MLflow, and integrates CI/CD for deployment on AWS using Docker, ensuring scalability, efficient updates, and robust safety compliance.

AI-powered real-time PPE detection system using YOLOv8, FaceNet, and DeepSORT. Monitors safety compliance through live webcam feeds and video analysis, tracks individual workers, and provides instant alerts for missing protective equipment. Built with FastAPI, React, and PostgreSQL.

OSHA-compliant Electrical Safety Training summary and certification covering PPE, arc flash hazards, and protection devices. (2025)

🦺 PPE Compliance Monitor Pro with Integrated Attendance System - Ultra-fast AI-powered workplace safety monitoring with comprehensive face recognition-based attendance tracking, real-time cancellation, and professional results analysis.

A real-time PPE detection model using YOLOv8 to identify safety helmets and vests for workplace monitoring.

AI-powered shift safety validator that detects dangerous scheduling patterns and suggests safer alternatives based on global labor standards.

Computer vision classification system for detecting safety helmet compliance in industrial and construction environments.

No description provided.

🛡️ A comprehensive web application built with Next.js for conducting systematic risk evaluations and root cause analysis. Features multi-step forms for project data collection, potential hazard assessment, immediate and basic cause identification, and corrective action planning.

DEVELOPING AN AI-MACHINE LEARNING TOOL FOR WORKPLACE SAFETY

Kaggle Data Science & Machine Learning: House Prices and Detective Intuition Analysis.

Real-time AI PPE compliance monitoring system using YOLOv8 and React dashboard.

🔒 Lock Out Tag Out (LOTO) Management System - Professional Equipment Protection Frontend | Modern React application with multi-language support for managing lockout/tagout procedures

Computer vision and machine learning system for PPE detection, workplace safety monitoring, and risk scoring using YOLOv8.

🛡️ Protect AI outputs with JoySafety, an open-source framework ensuring content security and compliance for enterprise applications.

Empowering women by eliminating the fear of retaliation. A mathematically secure, 100% anonymous, zero-knowledge POSH reporting platform for both organized and unorganized sectors.