**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
This is a Wordle solver implemented using a Random Forest ML algorithm. Built out of Python, Scikit-Learn, and Tkinter.
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
