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Development of a Secure Guest Identity Verification and AI-Powered Blacklist System for Hotels

capitalnumbers.com

Hospitality & leisure

Challenges in Traditional Hotel Check-in Processes

Traditional hotel check-in processes relying on manual form fill-ups are inefficient, time-consuming, and prone to errors and fraudulent activities. Lack of automated systems hinders the identification of high-risk individuals and compliance with local regulations. The client needs a robust and secure solution to address these challenges and improve hotel security.

About the Client

A technology company specializing in providing secure guest identity verification solutions to hotels, focusing on reducing fraud and enhancing security through automated processes and AI-driven analysis.

Project Goals

Develop a QR code-based application for streamlined and accelerated hotel check-in processes.
Implement real-time guest data verification against police and hotel-specific blacklists.
Integrate AI models to cross-reference guest data with multiple databases and flag suspicious individuals.
Ensure data security and compliance with relevant data privacy regulations (e.g., GDPR).
Provide offline capabilities for data capture in areas with limited internet connectivity.
Reduce staff workload associated with guest verification.
Enhance overall guest safety and improve the guest experience.

Functional Requirements

QR code scanning for guest identification.
Secure upload and storage of guest identification documents (passport, driver's license).
Real-time data verification against police and hotel blacklists.
AI-powered analysis to identify potentially high-risk guests.
Automated data transfer to police databases (with necessary permissions and security measures).
Offline data capture and synchronization.
Role-based access control for hotel staff.
Audit logging of all transactions and data access.

Preferred Technologies

Laravel

HTML

CSS

MySQL

TLS 1.3

AWS

OCR

QR Code Scanning

Required Integrations

Police databases (local authorities)
Hotel database (central system)
Blacklist databases (hotel and police)
AWS services (e.g., S3, Lambda, API Gateway)

Non-Functional Requirements

Scalability to handle a large volume of check-ins.
High performance and low latency.
Robust security to protect sensitive guest data.
Data privacy compliance (GDPR).
Reliable offline data synchronization.
Real-time data processing capabilities.
High availability and disaster recovery.

Expected Business Impact

This project is expected to significantly reduce fraud, enhance hotel security, improve operational efficiency by reducing manual tasks, and elevate the overall guest experience. The real-time verification and AI-powered analysis will provide hotels with greater control and confidence in guest identity, leading to reduced legal risks and a stronger reputation for security. The scalability of the system will allow for easy adoption by a large number of hotels.