<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Academic</title><link>https://shraddha-sharma.netlify.app/project/</link><atom:link href="https://shraddha-sharma.netlify.app/project/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><image><url>https://shraddha-sharma.netlify.app/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png</url><title>Projects</title><link>https://shraddha-sharma.netlify.app/project/</link></image><item><title>Autonomous Line Follower</title><link>https://shraddha-sharma.netlify.app/project/linefollower/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://shraddha-sharma.netlify.app/project/linefollower/</guid><description>&lt;p>This project was developed in the year 2013.
In this project, a line following bot was developed which works on the principle of the signal received by infrared(IR) sensors. Here, two IR sensors were used, the left IR sensor and the right IR sensor. Both the sensors were connected to the Arduino board which in turn was connected to the motor of the bot. The Arduino was programmed in such a manner that whenever a white surface was detected by both the sensors, the bot moved forward and when the black surface was detected by any one of the sensors, the bot moved in the left or right direction according to the code. When the black surface was detected by both the sensors(which depicted the end of the path), the bot stopped.&lt;/p>
&lt;p>The demo of this project was successful and received the first prize. It also got selected for presenting in the Kshiitj, Asia&amp;rsquo;s largest techno-management festival.&lt;/p></description></item><item><title>Avadhuta</title><link>https://shraddha-sharma.netlify.app/project/way-finding/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://shraddha-sharma.netlify.app/project/way-finding/</guid><description>&lt;p>Avadhuta: a way finding solution for indoor environments was developed by my team at Singapore-India Hackathon held at Nanyang Technlogical University. The motivation to design this system was to resolve the issue of finding locaton of any department inside a building.
The Global Positioning System (GPS) does not work in indoor environments.
Also, Wi-Fi Received Signal Strength(RSSI) indicator data is unreliable in Non-line of sight conditions.
To resolve this issue, our system used GPS data outdoors and integrated indoor tracking into it. To map the indoor radiation patterns of Wi-Fi signals in each building, a machine learning technique was used. Our GUI provides a provision for scanning QR codes located at selected landmarks.
It can also give directions to the user through the pictures taken by the mobile phone using image processing and pattern recognition.
The main advantage of our system is that we didn&amp;rsquo;t use extra hardwares for indoor tracking except for the QR codes placed at some landmarks.
Our system also considered the obstructions in the Wi-Fi signals by concrete walls and partitions by training a system.
In the absence of Wi-Fi signals, we got other options like
QR codes,
Image Processing from mobile camera,
Sound signatures to verify the correctness of path.&lt;/p></description></item><item><title>Indian Classical Vocal Training Tool</title><link>https://shraddha-sharma.netlify.app/project/music/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://shraddha-sharma.netlify.app/project/music/</guid><description>&lt;p>When learning any form of classical music vocals without a teacher, even subtle deviations can lead to wrong training, which can be diﬃcult to remedy in the future. In this research work, a real-time tool has been developed to deal with this situation by assisting people in learning Indian classical music. This tool will have a set of pre-deﬁned Swaras, Alankaras, and Ragas (Indian classical music concepts). Users can practice any musical piece from this set and the tool will inform them of the mistakes they make, by smartly matching their voice with the dynamically deﬁned pattern. Users are free to sing in any given scale, which they deﬁne in the beginning by singing the root note of their preferred scale.&lt;/p></description></item><item><title>Wonder Word</title><link>https://shraddha-sharma.netlify.app/project/wonder-word/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://shraddha-sharma.netlify.app/project/wonder-word/</guid><description>&lt;p>One of my open-source projects is wonder-word, a terminal application for vocabulary training for OSX and Linux using Web Scraping, a technique for web data extraction. The project is available on Github. The idea for this tool came up when I was preparing for GRE while working in a startup. It was diﬃcult for me to ﬁnd time from a hectic job schedule for GRE preparation. So, I built this tool that pops up a new GRE word every time I open my terminal for doing programming in my job sessions. It helped broaden my vocabulary while doing my job.&lt;/p></description></item></channel></rss>