Inspiration
To help Safety Excellence Group (SEG) proactively reduce hand injuries in manufacturing by transforming raw incident data into actionable safety intelligence.
⚙️ What it does
Our solution analyzes injury reports to extract root causes, rate severity, and assess risk levels by employer, event, and location—empowering SEG to make data-driven safety decisions.
🛠 How we built it
We combined data cleaning, TF-IDF NLP, and GPT-based root cause & severity extraction, then built employer-specific dashboards and visualizations in Tableau for powerful insights.
🚧 Challenges we ran into
GPT API limitations restricted large-scale extraction Cleaning unstructured narrative text was complex Aligning narrative data with severity scoring took iteration and prompt tuning 🏆 Accomplishments that we're proud of
Built an AI-powered system that explains why injuries happen Delivered an end-to-end employer-specific safety dashboard Generated a company-level risk rating using LLM insights 📚 What we learned
How to combine classical NLP (TF-IDF) with LLMs for business use cases The value of prompt engineering for accurate GPT outputs The power of visual storytelling in risk management 🚀 What's next for Forecast Wizards
Scale GPT analysis to the full dataset Automate PDF safety reports for each employer Deploy as a web app (Streamlit) for SEG clients to interact with live dashboards
Built With
- llm
- python
- tableau.
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