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.
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.
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.
AI-Driven Industrial Safety: Real-time YOLOv8 PPE detection system featuring asynchronous email alerts, incident evidence capture, and live analytics 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.
An AI-powered RAG system to analyze and query 500+ Russian industrial safety documents (SNiP, GOST), reducing expert analysis time from 3 hours to 15 minutes.
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