<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Immanuel Koshy</title><link>https://immanuel-portfolio.netlify.app/project/</link><atom:link href="https://immanuel-portfolio.netlify.app/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>Thu, 26 Oct 2023 00:00:00 +0000</lastBuildDate><image><url>https://immanuel-portfolio.netlify.app/media/icon_hudcadbe07f16945198ec0d26b911094f9_2334_512x512_fill_lanczos_center_3.png</url><title>Projects</title><link>https://immanuel-portfolio.netlify.app/project/</link></image><item><title>Abnormal Mammary Growth Analyser</title><link>https://immanuel-portfolio.netlify.app/project/pytorch/</link><pubDate>Thu, 26 Oct 2023 00:00:00 +0000</pubDate><guid>https://immanuel-portfolio.netlify.app/project/pytorch/</guid><description>&lt;p>A MATLAB based classifier system that takes in mammary scans as input and highlights the malignant growth areas using markers&lt;/p></description></item><item><title>Autonomous Vehicle Project</title><link>https://immanuel-portfolio.netlify.app/project/pandas/</link><pubDate>Thu, 26 Oct 2023 00:00:00 +0000</pubDate><guid>https://immanuel-portfolio.netlify.app/project/pandas/</guid><description>&lt;div class="split-screen-project">
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&lt;h2>Problem&lt;/h2>
&lt;p>An autonomous ground vehicle that navigates mazes autonomously using LIDAR sensors and Arduino Uno while encompassing manual RC based controls.&lt;/p>
&lt;pre>&lt;code>&amp;lt;h2&amp;gt;Solution&amp;lt;/h2&amp;gt;
&amp;lt;p&amp;gt;Developed a comprehensive navigation system integrating LIDAR sensors for obstacle detection and path planning, with Arduino Uno as the central processing unit. The system includes both autonomous and manual RC control modes for flexibility.&amp;lt;/p&amp;gt;
&amp;lt;h2&amp;gt;Challenges&amp;lt;/h2&amp;gt;
&amp;lt;ul&amp;gt;
&amp;lt;li&amp;gt;Real-time obstacle detection and avoidance&amp;lt;/li&amp;gt;
&amp;lt;li&amp;gt;Path planning in complex maze environments&amp;lt;/li&amp;gt;
&amp;lt;li&amp;gt;Seamless integration of autonomous and manual control modes&amp;lt;/li&amp;gt;
&amp;lt;li&amp;gt;Optimizing sensor data processing for responsive navigation&amp;lt;/li&amp;gt;
&amp;lt;/ul&amp;gt;
&amp;lt;h2&amp;gt;Technical Details&amp;lt;/h2&amp;gt;
&amp;lt;p&amp;gt;The system utilizes LIDAR sensors for 360-degree environmental mapping, enabling precise obstacle detection and navigation. The Arduino Uno processes sensor data and controls motor movements, while maintaining the ability to switch to manual RC control when needed.&amp;lt;/p&amp;gt;
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&lt;/div></description></item><item><title>Network Surveillance and Home Automation System</title><link>https://immanuel-portfolio.netlify.app/project/scikit/</link><pubDate>Thu, 26 Oct 2023 00:00:00 +0000</pubDate><guid>https://immanuel-portfolio.netlify.app/project/scikit/</guid><description>&lt;p>A hybrid system that takes old school relays, converts them into WiFi relays and integrates them into Apple’s HomeKit through JSON Scripts &amp;amp; HomeBridge API running off an RPI.
Takes DVR based and IP based surveillance footage off the LAN and routes it into a HomeKit Hub for local processing and secure save in iCloud.&lt;/p></description></item></channel></rss>