The primary objective is to develop a robust database system to manage a voting process for a performance show featuring singers and bands. The system was designed to handle complex relationships and provide real-time voting results, ensuring a transparent and efficient process for judges and audiences alike.
This project was a hands-on exploration of Artificial Intelligence, completed as part of CPEN 502 - Architecture for Learning Systems. The primary objective was to develop an intelligent tank, leveraging Reinforcement Learning (RL) and Neural Networks (NNs), to autonomously battle against explicitly programmed tanks within a game environment. Through this project, I applied machine learning techniques to design an unsupervised tank that can adapt to its environment and optimize its performance over time.