Machine Learning
student building real systems.
Jivesh Ramnath develops low-cost AI and embedded vision systems with a bias for deployment, not demos. The focus is assistive technology, object detection, sensor fusion, and practical engineering that survives contact with the real world.
Why this portfolio is different
This is not a generic student page. It is structured like a technical profile for scholarships, internships, competitions, and serious collaboration.
Outcome-first
Projects are framed by what they solve, what hardware they run on, and what the impact is in the real world.
Credibility signals
Competition results, volunteering, education, and technical skills are separated cleanly so reviewers can skim fast.
Built for growth
The layout can expand later with GitHub integration, case studies, a resume page, and project media without a redesign.
JØ7 VIREO
A low-cost edge-AI assistive vision system designed for visually impaired users. It runs offline, uses a custom-trained YOLOv8m model, estimates proximity, and combines audio and haptic feedback for safer navigation.
Core stack
Python, PyTorch, YOLOv8, OpenCV, Hailo, Raspberry Pi, LiDAR, ESP32, Arduino IoT, Fusion 360, PCB design, annotation workflows.
Public contact points
The public site should stay professional. The full address and mobile number are kept out of the page layout by default.