Designed a conceptual system targeted for highly trafficked urban areas to convert CO2 into O2 at a significantly faster rate than conventional trees. • Showcased a strong focus on environmental innovation and sustainability in space-constrained modern cities. With SDG 11, 12, 13, 15 and 9.
Getting Started with AI on Jetson Nano Lite
Where I performed Image Classification and Image Regression in Jetson Nano Lite Dev IO Base. What I have learnt: > Hello Camera with an interactive Jupyter notebook > Introduction to the JupyterLab interface and notebooks > AI and Deep Learning > Convolutional Neural Networks (CNNs) > ResNet-18 > Thumbs Project > Emotions Project > Image Regression > Classification vs. Regression > Face XY Project
B.E Electronics and Communication Engineering
SRM TRP Engineering College
Getting Started with AI on Jetson Nano
Nvidia
Jan 2026Attendee · Oct 24, 2026