基于 RAG + LLM 的施工安全风险智能分析系统 ,基于53000+真实事故案例实现语义检索与智能预评估| Construction safety risk analysis powered by RAG retrieval and DepSeek LLM with 53,000+ OSHA accident records
-
Updated
May 27, 2026 - Python
基于 RAG + LLM 的施工安全风险智能分析系统 ,基于53000+真实事故案例实现语义检索与智能预评估| Construction safety risk analysis powered by RAG retrieval and DepSeek LLM with 53,000+ OSHA accident records
Python port of @smartqhse/hse-calculators — 30+ HSE calculators (TRIR, LTIR, LTIFR, DART, EMR, WBGT, REBA, RULA, NIOSH, risk matrix, fire load). Pure Python 3.11+, zero dependencies, MIT, regulation-cited (OSHA, HSE UK, ISO 45001, ILO, NIOSH, ACGIH, NFPA).
AI-powered compliance credentialing platform. Free study, free testing, pay only for your certificate. Built with Django, Python, Stripe, and Claude AI.
On-device OSHA construction safety violation detector — Gemma 4 E4B + Unsloth + Ollama. Gemma 4 Good Hackathon submission (Global Resilience track).
ML-based system to predict workplace incident outcomes using OSHA data, combining TF-IDF and LightGBM with a deployable Streamlit interface.
AI-powered PPE compliance for industrial sites: real-time YOLO26 detection, Gemma 4 vision inspection, and OSHA-grounded answers from a self-improving knowledge base. Bold hi-vis UI, served on Modal (vLLM GPU, scale-to-zero) with self-hosted Supabase + pgvector.
Add a description, image, and links to the osha topic page so that developers can more easily learn about it.
To associate your repository with the osha topic, visit your repo's landing page and select "manage topics."