osha

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).

On-device OSHA construction safety violation detector — Gemma 4 E4B + Unsloth + Ollama. Gemma 4 Good Hackathon submission (Global Resilience track).

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.

Production RAG pipeline over SEC, FDA, OSHA & NIST documents — hybrid search, FastAPI, Docker, GitHub Actions. 100% retrieval accuracy.

OSHA safety NLP analysis using Python text processing and severe injury report insights

Interactive Streamlit map ranking 70 US metros for manufacturing site selection and industrial demand: automotive, warehousing, food manufacturing, battery, semiconductors, distribution centers, and materials handling & forklifts. Opportunity Index from Census ACS, EPA TRI, USDA FSIS, and OSHA ITA.