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"A Safety-Weighted Priority Framework for AI-Based Municipal Complaint Management"
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AI-powered municipal complaint & scheduling platform for NMMC/Kharghar. Packs a 145-rule safety-weighted priority engine, Gemini Vision API for image analysis, and three fully role-separated portals. |
Dual-mode system: desktop AI companion + IoT/robotics orchestrator. Built on PyQt6, faster-whisper, Gemini 1.5 Flash, pyttsx3, and an EventBus architecture. Controls ESP32 devices via MQTT. |
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Neo-brutalist UI component library. 41+ distinct styles — bold, expressive, production-ready. Built for developers who hate boring design. |
AI coding mentor that teaches you why you bugged — not just what broke. Features a multiplayer "Among Us"-style collaborative debugging mode. |
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Offline React Native facial recognition attendance system. AdaFace IR-18 + BlazeFace + passive liveness detection. Bundle under 18MB, sub-1s latency. |
Real-time crisis detection and mapping platform. Built for Build for Chaos hackathon — aggregates live incident data onto a visual threat map. |
- 🎉 Merged PR #7 in piyushyenorkar/NHAIFaceID
- 💪 Opened PR #7 in piyushyenorkar/NHAIFaceID
- 🎉 Merged PR #6 in piyushyenorkar/NHAIFaceID
- 🗣 Commented on #6 in piyushyenorkar/NHAIFaceID


