AI Projects (National Center for Artificial Intelligence): robotic car gestures, text adventure game, and regression modeling
Developed AI prototypes involving computer vision gesture recognition, including algorithm development and iterative testing. Built and deployed machine-learning-adjacent regression modeling and data analysis pipelines using Python tools for predictive insight generation. Collaborated on AI game and robotics prototypes where data processing and evaluation were required to achieve functional outcomes. • Implemented and tested gesture-recognition and robotic control logic using Python-based workflows. • Cleaned, visualized, and modeled datasets using Python libraries for regression predictions. • Conducted debugging/testing cycles to validate prototype behavior and performance. • Supported development of interactive systems that relied on Python backend logic and iterative evaluation.