<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>School Project on Jacob Keller</title><link>https://jacobkeller.me/categories/school-project/</link><description>Recent content in School Project on Jacob Keller</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>kiwiaviation1@gmail.com (Jacob Keller)</managingEditor><webMaster>kiwiaviation1@gmail.com (Jacob Keller)</webMaster><copyright>© 2026 Jacob Keller</copyright><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jacobkeller.me/categories/school-project/index.xml" rel="self" type="application/rss+xml"/><item><title>Bare-Metal Bicycle Safety Light</title><link>https://jacobkeller.me/projects/bicycle_safety_light/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><author>kiwiaviation1@gmail.com (Jacob Keller)</author><guid>https://jacobkeller.me/projects/bicycle_safety_light/</guid><description>Developed bare-metal embedded C firmware for STM32 to sequence through a finite state machine of lighting modes.</description></item><item><title>Pedestrian Detection Using PCA</title><link>https://jacobkeller.me/projects/pedestrian_detection/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><author>kiwiaviation1@gmail.com (Jacob Keller)</author><guid>https://jacobkeller.me/projects/pedestrian_detection/</guid><description>Created a pedestrian detection algorithm in MATLAB using Principal Component Analysis (PCA) achieving a 78% accuracy rate.</description></item></channel></rss>