Hey there, I'm Arushi!
I'm a student at the University of Texas at Austin pursuing a double major in Computer Science and Mathematics. I’m interested in software engineering, optimization, high-dimensional data. web development, user experience, and design.
I’m highly passionate about tackling challenging problems, creating niche software that makes meaningful impacts on people's daily lives, and exploring new ideas. I'm also fascinated by the data that underlies our lives, environment, and every decision we make, and I want to learn how to make sense of this bountiful resource.
I love meeting new people and am always eager to learn from others, so feel free to reach me at arushisharma264@gmail.com.
Inspiration: As children of immigrants ourselves, we’ve witnessed firsthand the difficulties of adjusting to a new environment and community through our parents. Consequently, we wanted to assist other immigrants by offering an application (web and iOS) that hosts a variety of resources to help them acclimate and succeed in the US. What it does: ATTUNE is a free, easily-accessible website & beta iOS app that works to help American immigrants acclimate to their new life in the US. It provides centralized information such as city must-sees, essential resources, community, and an AI-based chatbot, creating specialized resources and a support system. How we built it: We created our website on GitHub/VS Code using HTML/CSS and Javascript, and our app on Figma as a beta testing version. We utilized Canva to improve design aesthetics and create our logo. Challenges we ran into: We encountered some web dev issues, including implementing images using HTML/CSS, which our team had not done before. With multiple developers, we initially struggled with clearly communicating our intention and direction, as well as combining individual code into the overall project, but we quickly settled into the collaborative rhythm. Accomplishments that we're proud of: We’re proud of our fully functioning website that aesthetically displays our idea, as well as the beta version of our iOS app that we hope to further develop to create a positive impact. Finally, we’re proud of the team’s accomplishments, as we were able to successfully brainstorm and execute our idea within limited time constraints. What we learned: We researched common challenges that immigrants face, and we sought to improve these issues by providing centralized and detailed information. We also honed our HTML/CSS skills, as it isn’t our primary language, and learned more about design elements. What's next for Attune: Your Guide To The Next Chapter: Our app currently has functionality for Austin, TX in terms of education resources and tourism, but we hope to scale to more major cities, such as NYC, Irvine, CA, Jersey City, New Jersey, and Irving, TX. We’d also like to provide more functionality and improve user experience.
DevPost Figma GitHubApp Developed: 2022
Swift
HTML
CSS
Javascript
HackTX 2022 ‘Best Domain (2022)
Problem: Absence of a comprehensive database or resource for communities to access basic services.
Solution: ServiceSPOTTER is free iOS App independently developed by me to serve homeless and low-income communities to access various services like food, clothing, shelter, health care, and crisis helplines. It has an interactive AI-based Chatbot to answer any questions. It also allows the volunteers to be able to assist the service providers. www.serviceSPOTTER.org Free download from iOS Apple App Store ServiceSPOTTER Congressional App RecoginitionApp Developed: 2021
Swift
Javascript
2nd place at National Civic Engagement Project of the Year out of 60 projects From Civic Leadership Academy (Future Leaders of America) (2021)
National Congressional App Challenge Winner for the Congressional District of Texas (2021)
Developed an application to help postgraduate students in the path after college and the road of adulthood easier in Swift Provides the user with specialized resources, community, and opportunities to promote assistance in their everyday lives
Link to Beta VersionUT Austin Hackathon 2022
Swift
UT Austin WiCS Hackathon 'Best Novice Hack' (Februaray 2022)
Analyzed data of COVID-19 confirmed cases and hospitalization utilizing Uncertainty Quantification (UQ), Linear Algebra, and Python. Over 1000 lines of COVID in Visual Studio Code.
Currently working on analysis of impact of COVID-19 vacacination. This is part of my research assistantship under a Professor of University of Texas, Austin. Link to GitHub CodePython
Utilized computer vision and image classification tools to develop machine learning models to diagnose skin lesion images.
Explored a variety of image manipulation techniques and convolutional neural networks to create an effective model. Working on (in-progress) packing it into an application with a user interface. Link to GitHub CodePython
Conducted research on how cooking methods such as boiling, microwaving, and steaming affects the concentration of Ascorbic Acid (Vitamin C) and Iron in vegetables such as spinach, brussel sprouts, and broccoli
Link to Journal of Emerging Investigators (JEI) Published Research PaperScientfic Method
Developed an application to calculate any mathematical calculation imputed utilizing Java and deployed on GitHub
Link to GitHub CodeJava
Every information in computing is encoded as strings of 1’s and 0’s. The main purpose of information theory is to convey information in as few bits as possible, bearing in mind that every encoding is unambiguous. Huffman's coding has the same aim and is largely successful. Initially, this algorithm creates a tree in the form of a leaf node and its children which has a probability of the frequent appearance of the characters. It assigns less bits to the more frequently occurring characters which decreases the overall length of the data. Huffman coding algorithm has more efficiency in file compression with greater compression ratio.
Link to GitHub CodeC
Developed ShelterBOT in Java for a Hackathon to assist in the Disaster Relief work
UiPath Studio
2nd place at National Women+Tech Virtual Bot-A-Thon Challenge by Deloitte and General Dynamics Information Technology (2021)Java
Built multiple Python AI model to predict the greatest impact of mental health, greenspaces, and political affiliation on economic status
Report on FindingsPython
Used rvest, stringr, and dplyr in the R-Studio package to extract information (hospital names, addresses, phone numbers) from the AHD website Able to be run periodically and stored in a CSV to collect up-to-date information from the AHD website as more information is updated
R-Studio
The act of modeling the system environment to exercise a system under test that is designed to operate in that environment. Created for CS429.
Link to GitHub CodeJava
