1. Classifying flowers using Transfer Learning in Keras

   1. Dataset: (http://download.tensorflow.org/example_images/flower_photos.tgz

2. A BERT based Question-Answer system, tested and trained on the Stanford SQUAD dataset.  

3.  A first pass at coding an intelligent agent that plays checkers against itself. 

4. A simple game of catching falling objects,  with multiple software agent players employing Deep Reinforcement Learning methods, like Q-Learning and PPO, to learn and improve their performance in the game through iterative play.   

5.  A prototype of a RAG application built with Python that uses GPT-4o to receive and query documents, answer questions, and create derivate work product, like IEPs and Lesson Plans.