This is project contains 3 application and 3 games designed keeping in mind search algorithms, genetic algorithms and machine learning algorithm implemented in C, C++, Java, and OOP.It also involved dealing with finite and game state machines. Fundamentals of AI - Understanding the ordering of basic tree traversal algorithms, including depth-first pre-order, depth-first post-order, and breadth-first traversals. In this project, I have implemented linked data structures for the purpose of queueing elements in an AI system. Then I proceeded with sequence and selector behaviors as part of a tree model for agent behavior in an AI system. And finally designed general tree functionality in specialized, custom built tree data structures. Path Planning - It involved building a GUI for implementing different search algorithms and conducting a test based on which one is faster and efficient in cost in terms of how it reaches the end goal. Flocking - It involved building an API that shows steering behavior in form of flock of birds developing 3 algorithms - Separation, Alignment and Cohesion. Reversi - This project was focused on implementing MinMax Algorithm for an agent built to play the game Reversi(Othello). MsPacMan - Designing an smart AI for ms. pac man involving A* and finite state machine. Robocode - It was an tournament held at Fullsail University giving an opportunity to the student to develop AI strategy for a real agent. The scores were based on survival, inflicted damage, and elimination.