Barhoumi Nour

I worked as a Computer Vision and Deep Learning Intern at VisShop AI (Tunis, Tunisia) from August 2025 to September 2025. During this internship, I designed and developed an intelligent surveillance system based on computer vision to monitor space occupancy in real time. As part of this project: I implemented a people detection and counting model using YOLOv8 and deep learning to accurately track the number of individuals in different areas. I integrated a zonal capacity differentiation mechanism, which allowed the system to monitor and analyze the occupancy of each space individually. I contributed to improving the efficiency of real-time monitoring by combining object detection with tracking algorithms (DeepSORT). Through this experience, I strengthened my skills in computer vision, deep learning, and real-time surveillance systems, while applying advanced AI techniques to solve a practical challenge in intelligent space monitoring.

I worked as a Data Science and Logistics Optimization Intern, where my main objective was to design and implement an intelligent system for delivery optimization, combining predictive Machine Learning models with advanced optimization algorithms. My project involved several key components: Predictive Modeling and Data Analysis I developed and trained Machine Learning models, particularly with XGBoost, to predict delivery times and anticipate key logistics parameters. I performed data preprocessing, feature engineering, and statistical analysis to improve prediction accuracy. Logistics Optimization with Google OR-Tools I applied optimization algorithms to solve the Vehicle Routing Problem (VRP) and generate optimal delivery routes. I designed planning strategies to minimize operational costs and reduce delivery delays. Full-Stack Web Application Development I built an interactive web platform using Flask (backend) and Angular (frontend). I integrated predictive and optimization results into a real-time dashboard to visualize delivery routes, customer assignments, and estimated delivery times. Through this internship, I: Strengthened my expertise in predictive modeling, optimization algorithms, and web development. Gained hands-on experience with real-world logistics optimization and decision-support systems. Applied my theoretical knowledge from Data Science and Operations Research to solve practical industry challenges. In summary, this internship was a valuable opportunity for me to work at the intersection of Data Science, Operations Research, and Software Development, while directly contributing to reducing logistics costs and improving service efficiency.