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