Project Overview We are developing an advanced AI-powered camera monitoring system for hotel reception areas to prevent revenue leakage, track staff activity, and create intelligent customer profiles. The system will integrate with CCTV cameras and use AI-based face recognition to monitor visitor interactions, identify revenue mismatches, and generate actionable reports. We are looking for an experienced AI developer, computer vision expert, or full-stack AI team who can build and deploy a production-ready solution. ⸻ Main Objectives • Detect every visitor entering reception • Recognize hotel staff members • Automatically create customer profiles • Track complete customer–staff interaction history • Prevent revenue theft and unrecorded bookings • Generate automated alerts and reports ⸻ Core Features Required 1. Face Recognition System • Detect and recognize staff faces • Recognize repeat customers • Auto-create profile for new visitors • Store captured photo and visit history • Real-time detection via CCTV feed ⸻ 2. Customer Profile System Each profile must include: • Name (manual entry option) • Phone number • Photo (auto-captured) • Visit history • Room booked • Amount charged • Staff who handled booking ⸻ 3. Staff Monitoring • Track which staff handled which customer • Time spent per interaction • Detect suspicious behavior • Alert if customer interaction exists but no booking entry ⸻ 4. AI Theft Prevention Logic Examples of system intelligence: • Customer detected at reception but no booking entry • Room occupied but not billed • Same staff handling multiple unrecorded customers • Revenue mismatch detection Alerts should be sent via: • Email • WhatsApp ⸻ 5. Web Dashboard Admin dashboard must include: • Live camera view • Daily visitor count • Staff activity logs • Customer profiles and history • Revenue mismatch alerts • Search and filter functionality ⸻ 6. Reports (Exportable) • Daily revenue report • Staff performance report • Customer visit history • Suspicious activity report • Export to PDF and Excel ⸻ 7. Hardware Integration System must support integration with CCTV cameras such as: • Hikvision • Dahua Technology • TP-Link • CP Plus Or recommend compatible AI camera hardware. ⸻ Preferred Technology Stack • Backend: Python or Node.js • AI and Computer Vision: OpenCV, Face Recognition, TensorFlow • Database: Firebase or PostgreSQL • Frontend: React or Angular • Cloud: Google Cloud Platform or Amazon Web Services ⸻ Deliverables • Fully working AI system (production-ready) • Web dashboard (admin panel) • Camera integration setup • Installation guide • Camera configuration guide • Staff training session • Complete source code • Deployment documentation ⸻ Security and Privacy Requirements • Data encryption (at rest and in transit) • Role-based access control • Full audit logs • GDPR-style compliance • Secure cloud deployment ⸻ Ideal Freelancer Profile • Strong experience in AI and Computer Vision • Prior work in face recognition systems • Experience with CCTV RTSP integration • Experience building SaaS dashboards • Cloud deployment expertise • Ability to provide architecture proposal before development ⸻ To Apply, Please Include 1. Portfolio of similar AI or Face Recognition projects 2. Proposed architecture 3. Estimated timeline 4. Estimated cost 5. Suggested improvements ⸻ We are building this as a scalable system that can later expand across multiple hotel properties. Serious and experienced developers only.