Recent Artificial Intelligence and Data Science graduate with strong hands-on experience in Machine Learning, Deep Learning, Computer Vision, Data Analysis, and IoT-based intelligent systems. Successfully designed and implemented an AI-powered smart assistive cane for visually impaired individuals using YOLOv8 and Jetson Nano. Skilled in building end-to-end AI applications, model deployment, and data-driven problem solving, with practical experience from internships and projects.
Designed and implemented an intelligent assistive cane aimed at enhancing mobility and safety for visually impaired individuals through real-time obstacle detection and environmental awareness. Industry Partner: Waslleh Hardware Company. Developed a real-time object detection system using YOLOv8. Integrated AI models with Jetson Nano for edge computing deployment. Implemented computer vision algorithms for obstacle recognition and navigation assistance. Designed IoT communication architecture for remote monitoring and alerts. Integrated Arduino Nano for sensor management and hardware control. Collaborated on system testing, optimization, and deployment in real-world environments.