An ML based basketball outcome predictor that leverages advanced metrics to forecast NBA game results and identify betting value by comparing fair and market odds.
A native iOS application focused on simple UI for tracking user's gym progress. Designed with experienced lifters in mind, the app features minimnalist UI and a depth of analysis to help users track their progress and achieve their fitness goals.
A full-stack web app for CISSA (Computing and Information Systems Student Association) to display events, engage the community and offer job opportunities.
Implemented a Deep Q-Network (DQN) reinforcement learning agent trained to achieve optimal pathing and maximum score in the classic game Snake, demonstrating strong foundational knowledge of RL concepts.
Screenshot 1/3
I'm currently preparing the demonstration video showing the reinforcement learning process. Please check back shortly!