Dr. Youssef Mohamed

Vizioneer transforms existing camera infrastructure into a real-time operational command center for rapid commerce. The system uses state-of-the-art Vision Language Models (VLMs) and machine vision algorithms to track orders, optimize picking routes, and detect bottlenecks in dark store and cloud kitchen environments—all from existing cameras with zero additional hardware.

AI-Powered Analytics Dashboard

Dark Store Optimization

Platform Architecture

Pokamind is an AI-powered skill-training platform that delivers personalized leadership development through realistic role-play scenarios and multi-modal behavioral analysis. The system analyzes body language, voice patterns, and communication keywords in real-time to provide objective insights and accelerate skill development. Built on enterprise-grade GCP architecture with Kubernetes orchestration, achieving 99.9% uptime.

AI-Native Learning Platform

Enterprise Security & Scalability

HighlightsHub leverages state-of-the-art computer vision and object tracking AI to automatically detect goals in casual football games and generate professional highlight reels. The system uses fine-tuned vision models for precise event detection, player identification, and action tracking. Built on a full Google Cloud Platform architecture with Firebase integration for real-time processing and seamless user experience.

Platform Features

Developed an advanced Natural Language Processing system for Furhat Robotics' social humanoid robot, specifically adapted for Arabic language and Middle Eastern cultural contexts. The system was deployed at the NEOM Exhibit Center in Saudi Arabia, where the robot conducted interactive surveys and engaged with Saudi visitors in natural, culturally appropriate Arabic conversations. This project represents a significant advancement in cross-cultural human-robot interaction, enabling seamless bilingual communication and culturally-aware social engagement.

Furhat Social Robot with Human-like Expressions