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BS CS @ Texas A&M University
Rippleboard is a visual whiteboard for coding interviews and brainstorming, helping users map data structures, explain ideas clearly, and think through problems interactively.
An idle game where you grow rice and grow more rice!
Navigate airports effortlessly with a personalized location recommendation system, interactive maps, and provide seamless guidance for every passenger.
This project empowers a local eatery with data-driven insights on sales, peak hours, and customer preferences, helping optimize staffing, inventory, and menu decisions for smarter operations.
Two approaches to down sampling using a dataset clustered with a Gaussian Mixture Model.
In Build-A-Monster, you play as a young scientist helping a confused monster understand the world while learning how to build chatbots.
Welcome to the Pinoy & Thai Asian Cuisine Website, your ultimate gateway to the vibrant culinary world of Southeast Asia.
Our project predicts patient survival using data cleaning, standardization, and oversampling. It is also adaptable, allowing for the use of different machine learning techniques.
The TAMU Bus App allows users to get the most out of Texas A&M's Bus System by offering users a seamless, all-in-one, user-friendly navigation app, applying chatbot to suggest bus routes for users.
