A real-time computer-vision system to monitor construction sites and automatically detect safety violations (e.g., missing PPE, entering restricted zones, unsafe proximity to equipment) using Python, deep learning and video analytics aimed at improving compliance and reducing on-site risk.
OSHA-compliant Electrical Safety Training summary and certification covering PPE, arc flash hazards, and protection devices. (2025)
Helmet Detection Computer Vision Model - A machine learning project that detects helmets in images and video streams using convolutional neural networks. Includes Jupyter Notebook implementations for model training and evaluation, Python utilities for inference, and Docker configuration for containerized deployment.
Industrial PPE compliance for video: RF-DETR detection, ByteTrack worker IDs, temporal helmet/vest logic, and an MCP server to query analytics without re-running inference.
End-to-end YOLOv8 pipeline for detecting gloved vs. ungloved hands, with automated cleaning, human-in-the-loop review, and AI-assisted label validation.
Daily HOS and DVIR compliance audit tool for Samsara ELD fleets. Flags violations, missing shipping IDs, and drivers approaching the 70-hour weekly limit.
AI-Driven Industrial Safety: Real-time YOLOv8 PPE detection system featuring asynchronous email alerts, incident evidence capture, and live analytics dashboard.
Multi-camera RTSP surveillance pipeline for real-time safety gear (helmets, vests, goggles) compliance monitoring using YOLOv11 and DeepSORT.
ISO 10218 and ISO/TS 15066 safety standards explained, with deterministic physics safety validation.
Public dataset of 2025 federal OSHA HazCom (29 CFR 1910.1200) citations — 130 citations, $172,793 in penalties.
Production RAG for Russian regulatory docs (GOST, SNiP, Labour Code) — 7.7/10 correctness, 0.936 faithfulness, 100% out-of-scope abstain, $0.01/query
Real-time Helmet & Safety Gear Detection system using YOLOv8, OpenCV, EasyOCR, and Flask with automated email alerts and live violation tracking dashboard.
An unified mobility platform aggregating Uber, Ola & local operators into a single government-compliant app with verified drivers, transparent pricing, and real-time safety features for Indian cities.
Frontend development and system integration for a United Airlines cargo safety compliance application. Built the client-facing interface and established data flow between the UI and a computer vision backend.
Complete guide to robot safety standards: ISO 10218, ISO/TS 15066, IEC 61508, ISO 13849, ANSI R15.06.
AI-powered construction safety compliance system using YOLOv8 for PPE detection, violation checking, risk scoring, reporting, and Streamlit dashboard.
AI-powered Intelligent Safety Compliance Assessment system using Computer Vision and Deep Learning to detect PPE violations and improve workplace safety monitoring.
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