<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Server-Sent Events (SSE) on Kourtney's Portfolio</title><link>https://klee1611.github.io/tags/server-sent-events-sse.html</link><description>Recent content in Server-Sent Events (SSE) on Kourtney's Portfolio</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>kourtneylee1611@gmail.com (Kuo-Hsiu (Kourtney) Lee)</managingEditor><webMaster>kourtneylee1611@gmail.com (Kuo-Hsiu (Kourtney) Lee)</webMaster><copyright>© 2026 Kuo-Hsiu (Kourtney) Lee</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://klee1611.github.io/tags/server-sent-events-sse/index.xml" rel="self" type="application/rss+xml"/><item><title>PantryLens | Edge-Routed AI Vision PWA</title><link>https://klee1611.github.io/projects/pantry-lens.html</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><author>kourtneylee1611@gmail.com (Kuo-Hsiu (Kourtney) Lee)</author><guid>https://klee1611.github.io/projects/pantry-lens.html</guid><description>&lt;p&gt;An AI-driven Progressive Web App (PWA) designed to process unstructured visual data and generate real-time recipes. Built to demonstrate secure, low-latency edge computing, the application autonomously parses pantry inventories via image recognition to structure outputs for highly specialized dietary profiles. Dispatched vision tasks to the Gemma 4 model, engineered a real-time Server-Sent Events (SSE) pipeline, and utilized Redis for sliding-window IP rate limiting.&lt;/p&gt;</description></item></channel></rss>