Durban, KwaZulu-Natal · UKZN · Edge AI, CV, Robotics
Machine Learning
student building real systems.
Jivesh Ramnath develops low-cost AI and embedded vision systems with a bias for deployment, not demos. Focused on assistive technology, object detection, sensor fusion, and real-world engineering.
Edge AI
YOLOv8, Hailo, Raspberry Pi, real-time inference.
Robotics
Cars4Mars rover, CAD, sensors, embedded systems.
Recognition
Gold medal, innovation awards, science fair results.
Impact Focus
Assistive tech, offline AI, low-cost systems.
Why this portfolio is different
Built like a technical engineering profile, not a student template.
Outcome-first
Focus on deployed systems, not theoretical projects.
Real credibility
Competitions, awards, and engineering experience clearly structured.
Scalable structure
Ready for GitHub integration, case studies, and expansion.
Featured Project
JØ7 VIREO
Low-cost edge AI assistive vision system using YOLOv8 for real-time detection, distance estimation, and offline voice feedback.
Core Stack
Python, PyTorch, YOLOv8, OpenCV, Hailo, Raspberry Pi, ESP32, Arduino, Fusion 360, PCB design.