The project is required only for graduate students in B551. It should be as big as 2 or 3 homework assignments.

For the project, you can choose any of the algorithms we discussed and choose a problem to apply it to. It can be an algorithm we've used in a homework but it should be applied to a different problem or have extended functionality.

Write a 1-2 pages report on what you implemented and how it worked. Experiment with it by varying applicable parameter and report what you find.

Here are some ideas of projects:

• Write an AI agent capable of playing a game of your choice. The game can be already written, in which case you have to add the agent and additional functionality to integrate it.
• Use a learning method like genetic algorithms, neural networks, simulated annealing, and so on, and apply it to a problem of your choice.

  Use the A*, GraphPlan, or one of the other algorithms we've seen to solve a new problem.

• Writing a fuzzy controller for some application.

  Use a downloadable, trainable GenAI system and train it on a problem of your choice. This involves finding an appropriate data set. Some sites with available data sets:
  https://www.drivendata.org/
  https://www.wikidata.org/wiki/Wikidata:Main_Page
  https://graphia.app/example-data.html

Required:

• Source code along with necessary resource files.
• A README file with instructions for the reader to be able to run your program, including any dependencies that need to be installed. This file should also include any credit for resources that you took from a website or that were created by someone else.
• A short report (2, at most 5 pages) as described above.

Presentation. We'll reserve the last day of class for project presentations.

Turn in: Source files, the short report, and the README file.