**Won BuildDSM V1 Hackathon for Best Pitch/Demo - Second Place Overall** VetU is an AI/ML powered application for veterinary telehealth designed to assist pet owners in assessing their pets' health conditions remotely. The application utilizes image recognition technology, AI analysis, and access to veterinary resources to provide preliminary diagnoses and recommend appropriate actions.
Supervised Machine Learning algorithm written in Python/Sci-Kit Learn to predict the outcome of Chicago Bears games. Utilized data visualization libraries such as Matplotlib and Seaborn to create interactive visualizations of the data. Deployed the model using Streamlit to create a user-friendly web application for users to interact with the model and view the predictions.
Started off as a fun side project as my girlfriend always beats me in Wordle. Utilizes Random Forest Classifier to predict the correct word in the Wordle game. The model is trained on a dataset of up to 14,000 words. Need to optimize it to handle more words as it is currently limited to only 100-300 word limits at a time.
Created a Full-stack web application akin to Reddit and Discord, providing a chat platform for K-Pop enthusiasts. Implemented a REST API using Django framework, with SQLLITE, to handle user-generated posts and interactions
Fixed broken files in the repository to make web application output correctly. Used JPMC open source library called Perspective to generate a live graph that displays a data feed in a clear and visually appealing way for traders to monitor.
Simple Etch-A-Sketch game using HTML, CSS, and JS.
My cousin and I started a YouTube channel reacting to different music and K-Pop videos. Amassed over 1,000 subscribers and 100,000 views.
