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| title: README | |
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| # Craftloop AI | |
| Open-source, CPU-friendly small models for **Indian-language AI safety**. | |
| Most open guardrail models are English-only, and they often block normal Hinglish users or miss Hinglish attacks. | |
| Craftloop AI builds small, practical models and datasets for English, Hinglish and Hindi. | |
| ## Models | |
| - [**hinglish-prompt-guard**](https://huggingface.co/craftloop-ai/hinglish-prompt-guard): detects prompt injection & jailbreaks in English, Hinglish and Hindi. | |
| Hinglish F1 **0.97** · false positives **0%** (vs 31.5% for an English-only guard) | |
| ## Datasets | |
| - [**hinglish-prompt-injection**](https://huggingface.co/datasets/craftloop-ai/hinglish-prompt-injection): synthetic Hinglish/Hindi prompt-injection data with a template-disjoint test split | |
| ## Coming next | |
| - Indian PII redactor (Aadhaar, PAN, UPI, phone numbers) for safe LLM use | |
| - An LLM safety gateway: guard → redact → LLM → restore | |
| All models and data are open (MIT). Feedback and contributions welcome. | |