Enterprise AI-Powered Access Control & Pipeline System

نظرة عامة (Overview):

Developed a highly scalable, full-stack enterprise application designed to automate checkpoint processing and access control workflows. The system integrates seamlessly with external AI-OCR models to extract and validate data in real-time, eliminating manual data entry.

التخطيط وهيكلة النظام (Planning & Architecture):

Adopted a strict plan-first development lifecycle. Before implementation, the system architecture was heavily documented using Architectural Decision Records (ADRs) to standardize a custom command-driven pipeline pattern. This ensured all validation steps acted as thin orchestrators, maintaining a highly organized and predictable codebase.

الحل التقني (Technical Solution):

Built the backend from scratch using .NET 8 and Clean Architecture.

Implemented CQRS with MediatR to achieve sub-2-second end-to-end throughput.

Engineered a robust frontend interface using Angular 18 and TypeScript for real-time monitoring.

Applied SOLID principles, utilizing Strategy and Decorator patterns to handle 11 concurrent business rules seamlessly.

النتائج (Impact):

The system successfully transitioned to the UAT environment, completely eliminating duplicate transactions via distributed locking and drastically reducing the need for manual operational oversight.