Building a Gemini-Powered AI Assistant for Android XR Glasses with Kotlin

<p>The era of "Cloud-First" AI is facing a silent revolution. While GPT-4 and Claude 3 dominate the headlines, a significant shift is happening right in your pocket. Developers

<h1> Android + NVIDIA Jetson + ROS 2: Building an AI Robot </h1> <h2> Introduction </h2> <p>A practical Physical AI system often separates the user interface, AI compute, robotics

<p>You’ve built a machine learning model. It’s accurate, it’s lightweight, and it works perfectly on your desktop. But the moment you port it to an Android device, everything

<p>If you have ever tried to run a massive Large Language Model (LLM) or a high-resolution computer vision model directly on a mobile device, you’ve likely encountered the

<p>In the world of Deep Learning, there is a fundamental, almost violent tension: the computational greed of neural networks versus the strict, unforgiving resource constraints of

<h1> NVIDIA TensorRT Edge Model Optimization </h1> <p>Modern Physical AI systems are distributed pipelines. The goal is not simply higher FPS; it is predictable latency,

<p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Build with Gemma 4</a></em></p> <h2> What I Built </h2> <h3>

<p>The dream of a truly personal AI—one that lives entirely on your smartphone, understands your medical history, drafts your legal emails, and critiques your code without ever