Dahchar Abdelali

Smart Access & Flow Management System:

• Maintenance, reliability and functional evolution of the ATMS flow management system.

• Addition of a granular access control model based on Automatic License Plate Recognition, RFID, BLE and the customer's merchandise declaration system.

• Implementation of an intelligent chatbot based on LLaMA 2 to interact with ATMS data (license plate reading, access control, parking counts), offering advanced search capabilities and simplified event consultation. Balancing of training datasets using generative AI (GAN Oversampling) Fire Recognition System: Vehicle Damage Detection and Classification: for

• Developed DeepFace.

• Automated employee attendance marking, times.

• Implemented real-time security monitoring alerts for unauthorized personnel.

• Optimized resource allocation with fine-tuning and data augmentation for enhanced accuracy. with Increased efficiency and maximizing hardware utilization. Tools: Python, TensorFlow, YOLO, CUDA, EasyOCR, PyTorch, OpenCV

Developed a vehicle detection and counting model for port parking areas using YOLO, DeepSORT, Kafka, PyTorch, and TensorFlow. Designed and implemented a vehicle license plate detection and recognition system using YOLO and OCR. Generated statistical data for parking management, enhancing operational efficiency. Collaborated with a team to meet project milestones and conducted rigorous testing.

Deployed a Security Information and Event Management (SIEM) solution (Beats, Logstash, Elasticsearch, Kibana) for monitoring and managing security events. Implemented Elastalert to enhance security alerting and monitoring. Conducted security assessments and developed response protocols.