| --- |
| title: Crash Intelligence Platform |
| emoji: 🛡️ |
| colorFrom: green |
| colorTo: blue |
| sdk: static |
| pinned: false |
| short_description: AI crash material ranking and CAE card generation |
| --- |
| |
| # Crash Intelligence Platform |
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| Comprehensive automotive crash-material intelligence dashboard for recommending, ranking, and validating materials across steel, aluminum, magnesium, composites, polymers, foams, elastomers, and adhesives. |
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| ## Dashboard modules |
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| 1. **Overview** — KPI gauges, family crashworthiness, crash vs weight scatter, scenario×family heatmap |
| 2. **Material Explorer** — energy absorption, cost vs sustainability, stress–strain curves, property table |
| 3. **Crash Scenario AI** — top recommendations by scenario/component with intrusion–energy trade-offs |
| 4. **Compare & Rank** — multi-objective radar + weighted ranking |
| 5. **Material Cards** — draft LS-DYNA / Abaqus / PAM-CRASH / Radioss cards with download |
| 6. **Validation** — AI vs CAE parity, error distribution, certification ladder |
| 7. **Data Library** — browse/export dataset views |
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| ## Live Space |
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| https://huggingface.co/spaces/WellmatixGenAI/Crash-Intelligence |
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| ## Local Streamlit (optional) |
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| ```bash |
| pip install -r requirements.txt |
| python -m utils.data_generator |
| streamlit run app.py |
| ``` |
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|
