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README.md

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 title: README
-emoji: 📉
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-sdk: gradio
-sdk_version: 6.19.0
-python_version: '3.13'
-app_file: app.py
+emoji: 🦅
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+sdk: static
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-short_description: HawkEyes Projects
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align="center">
+
+# HawkEyes AI
+
+**Production AI for retail-execution, identity, and conversational systems**
+
+[![Website](https://img.shields.io/badge/HawkEyes-Digital%20Monitoring-black)](https://rakib-portfolio-lilac.vercel.app/)
+[![GitHub](https://img.shields.io/badge/GitHub-RH--NAYM-181717?logo=github&logoColor=white)](https://github.com/RH-NAYM)
+
+</div>
+
+---
+
+## About
+
+HawkEyes Digital Monitoring Ltd. builds production computer-vision and generative-AI systems for enterprise retail-execution monitoring, mobile-financial-services branding audits, biometric identity verification, and real-time conversational AI. Models and Spaces published here power live services for clients including **BAT, Unilever, and Nagad**, covering **2M+ retail outlets at ~99% detection accuracy**.
+
+## Flagship repositories
+
+| Repo | Description |
+|---|---|
+| [**BAT_Master**](https://huggingface.co/HawkEyesAI/BAT_Master) | Central production CV+analytics service for a BAT retail-execution program — campaign-specific YOLO detection/segmentation, planogram compliance, face recognition. |
+| [**UBL-Backup**](https://huggingface.co/HawkEyesAI/UBL-Backup) | Unilever Bangladesh retail-execution API — 10+ versioned YOLO models across display, POSM, share-of-shelf, and sachet audits. |
+| [**Voice-AI-Agent**](https://huggingface.co/HawkEyesAI/Voice-AI-Agent) | Production real-time conversational voice agent — WebRTC streaming, VAD→STT→LangGraph→TTS, MCP tool-calling, per-session memory. |
+| [**VITS-FineTune**](https://huggingface.co/HawkEyesAI/VITS-FineTune) | Custom Bangladeshi-accent Bangla TTS fine-tuning (Coqui VITS + grapheme frontend), built for production call agents. |
+| [**HE-Sherlock**](https://huggingface.co/HawkEyesAI/HE-Sherlock) | Strictly-grounded Bangla document RAG — OCR + FAISS + Gemini. |
+| [**Malay-DAIA**](https://huggingface.co/HawkEyesAI/Malay-DAIA) | Retail item-detection + agent face-verification API for a Malaysian deployment. |
+| [**Squere_Demo**](https://huggingface.co/HawkEyesAI/Squere_Demo) | Modular multi-audit retail API — Display Audit, POSM, Sachet, Share-of-Shelf. |
+| [**OCR_CloudVision_Gemeni**](https://huggingface.co/HawkEyesAI/OCR_CloudVision_Gemeni) | Hybrid OCR pipeline — Google Cloud Vision + Gemini + NLTK normalization. |
+| [**distance-calculate**](https://huggingface.co/HawkEyesAI/distance-calculate) | Detection-driven object distance/spacing estimation for retail placement analytics. |
+
+## What we work on
+
+- **Retail-execution computer vision** — POSM detection, planogram/shelf compliance, share-of-shelf, competitor detection.
+- **Biometric identity** — face verification for agent/KYC-style checks.
+- **Conversational AI** — real-time voice agents and production RAG/agentic systems.
+- **Low-resource Bangla speech & OCR** — Bangla TTS and document intelligence.
+- **MLOps** — GPU-optimized async inference, containerized deployment, self-hosted on-prem GPU infrastructure.
+
+## Contact
+
+Maintained by [MD Rakibul Hasan Naym](https://huggingface.co/rakib72642), Head of AI — [rakib.hedigital@gmail.com](mailto:rakib.hedigital@gmail.com) · [Portfolio](https://rakib-portfolio-lilac.vercel.app/)