Interpreter for the developed language 'NbaQL' that allows users to easily find trends in their favorite athletes and teams

Web application enabling users to interact with datasets and experiment building and fine-tuning ML models without coding; Includes data exploration, cleaning, transformation, visualization, and model development

One stop e-commerce shop for all things basketball with fully functional inventory management and order processing. Completed in my Distributed Enterprise Computing course

Predictive model for future NCAA basketball matchups with a 73% accuracy rate, based on analysis of 2,129 games during the 2022-23 season

Source of this website & NbaQL UI

Data collection system for 7 resorts to monitor patterns in dynamic room pricing, aiding in forecasting real estate returns; Saves the client 60 hours of manual collection each quarter

Web application that navigates users through complex indoor spaces. Incorporates gamification to increase user engagement allowing for crowdsourcing indoor building layouts

Data collection project to automate creating AI voice clones

Student commute matching app for safer traveling at night. Matches students by commute route and user compatability level.

Navigation system utilizing image processing by giving vibrating cues within the steering wheel by an arduino