Projects

Machine Learning Fitness Tracker

I developed a Python-based Machine Learning Fitness Tracker leveraging accelerometer and gyroscope data to accurately count repetitions and differentiate between five strength training exercises. I employed advanced feature engineering techniques like window-based mean, Fourier transformation, and K-means clustering for data optimization, followed by predictive modeling utilizing various algorithms including neural networks, random forests, and decision trees, with random forest yielding the best results. It was awesome being able to solve a practical issue in my life through machine learning. In the future I could design a UI for this program so that it could be used with a wearable accessory.

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UVA Event Coordinator

I spearheaded the development of a web application tailored for UVA campus event management. Utilizing Django framework and Heroku for database management, our team integrated Google Maps, Google Geocoding, and Google Login API to offer authenticated users real-time location data of ongoing events. As the Scrum Master, I led the team in adhering to the Scrum methodology, organizing sprints to guarantee prompt and effective project completion, and fostering an agile development atmosphere. The site has not been maintained in a while so it might not be working perfectly currently.

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UVA Dorm Rater

UVA Dorm Rater, was created in collaboration with another UVA student to provide an insightful resource for prospective University of Virginia students by presenting reviews of the UVA dorm experience. Offering functionality like account management, dorm-specific reviews, and a voting system, the site ensures users can not only share their experiences but also find the most useful reviews quickly. We developed the platform with a robust front-end that communicates with a PHP backend to ensure an asynchronous, smooth user experience, including features like dorm search and automatic review sorting. Currently only the front-end is finished, the project is expected to be completed sometime in April.

Personal Website AI Chatbot

Leveraging the latest advancements in AI, I'm currently developing an intelligent chatbot for my personal website.Powered by Google's Dialogflow, it processes natural language queries with precision, ensuring users receive accurate and relevant information. The backend, built on the robust FastAPI framework, promises swift and reliable responses, while an SQL database underpins the system, managing dynamic data with efficiency. There no current hard deadline for this chatbot, but I plan to work on it next chance I get.

HoosBudget UI

In a forward-thinking academic project, my team and I embarked on the conceptualization of HoosBudget, an innovative UI for a student-focused budgeting app imagined for the UVA community. This theoretical application was meticulously designed through an iterative cycle of user experience research methods, including contextual inquiries, workflow analysis, and prototype refinements. Through methods like flow models, we mapped out a user interface that seamlessly integrates the financial nuances of college life, from splitting rent and utility bills to managing academic expenses. The final UI design should be complete by the end of April.

AI Final Project

My AI class will feature a final project that covers the concepts discussed in class. The specifics of the project are to be determined, however, it will most likely cover topics such as agent problem solving, reinforcement learning, generative AI, and more. I will be sure to update this page as soon as I get more information or complete the project.