<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Sumit's Homepage</title><link>https://n0xtua.github.io/portfolio/project/</link><atom:link href="https://n0xtua.github.io/portfolio/project/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Apr 2022 00:00:00 +0000</lastBuildDate><image><url>https://n0xtua.github.io/portfolio/media/icon_hu7729264130191091259.png</url><title>Projects</title><link>https://n0xtua.github.io/portfolio/project/</link></image><item><title>Chicago crime detection using unsupervised learning</title><link>https://n0xtua.github.io/portfolio/project/p3/</link><pubDate>Fri, 01 Apr 2022 00:00:00 +0000</pubDate><guid>https://n0xtua.github.io/portfolio/project/p3/</guid><description>&lt;p>This course project demonstrates unsupervised learning methods to find patterns in the Chicago Crime dataset.&lt;/p></description></item><item><title>Wind energy-based path planning for electric UAVs using MDPs</title><link>https://n0xtua.github.io/portfolio/project/p1/</link><pubDate>Fri, 01 Apr 2022 00:00:00 +0000</pubDate><guid>https://n0xtua.github.io/portfolio/project/p1/</guid><description>&lt;p>Implementation of a research paper on exploiting wind fields to minimize energy consumption on
UAVs.&lt;/p></description></item><item><title>A reinforcement learning agent to play the Sokoban game</title><link>https://n0xtua.github.io/portfolio/project/p2/</link><pubDate>Tue, 01 Feb 2022 00:00:00 +0000</pubDate><guid>https://n0xtua.github.io/portfolio/project/p2/</guid><description>&lt;p>Designed a custom environment for the Sokoban game and implemented RL algorithms.&lt;/p></description></item><item><title>Library seat occupancy detection</title><link>https://n0xtua.github.io/portfolio/project/p4/</link><pubDate>Mon, 01 Nov 2021 00:00:00 +0000</pubDate><guid>https://n0xtua.github.io/portfolio/project/p4/</guid><description>&lt;p>A method to detect seat occupancy in the College Library using an object detection model on the
CCTV images.&lt;/p></description></item></channel></rss>